# click the up-left corner to select videos from the playlist
source: MIT OpenCourseWare 2013年2月14日
MIT SP.775 D-Lab: Energy, Spring 2011
View the complete course: http://ocw.mit.edu/SP-775S11
This project-based class explores sustainable energy technology in developing countries. Considers sources like solar, biomass & wind; and uses like cooking, lighting, & phone charging. Students work on projects with partners in Nicaragua and El Salvador.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
1. Introduction to Energy 1:29:22
Lab 1: Human Power 10:01
2. Energy Storage & Microgrids 1:38:51
Lab 2: Solar Power Measurement, Part I: Lecture 24:23
Lab 2: Solar Power Measurement, Part II: Activities 9:32
3. Lighting; Trip Introduction 1:31:51
Lab 3: Biogas and Biodigesters, Part I: Lecture 39:01
Lab 3: Biogas and Biodigesters, Part II: Activities 12:19
4. Solar Energy 20:21
Lab 4: Wiring Solar Panels, Part I: Lecture 49:20
Lab 4: Wiring Solar Panels, Part II: Activities 8:01
5. Wind and Micro-Hydro Power; Trip Planning 1:15:47
Lab 5: Savonius Wind Turbine Construction and Testing 8:28
6. Cooking, Stoves and Fuel 46:41
Lab 6: Charcoal Making and Stove Testing 39:48
Project 1: Trip Planning Presentations (from Lecture 7) 1:00:37
7. Solar Cookers; Creative Capacity Building; Trip Preparation 1:01:51
Project 2: Trip Report Presentations (from Lecture 8) 1:07:28
8. Project Design Process 24:09
Project 3: Initial Design Review 1:25:51
Project 4: Final Presentations 56:08
1. Clicking ▼&► to (un)fold the tree menu may facilitate locating what you want to find. 2. Videos embedded here do not necessarily represent my viewpoints or preferences. 3. This is just one of my several websites. Please click the category-tags below these two lines to go to each independent website.
2016-12-20
Metahaven. Propaganda. 2016
source: European Graduate School Video Lectures 2016年12月17日
http://www.egs.edu Metahaven, Professors of Digital Design at The European Graduate School / EGS. Saas Fee/Switzerland 06.20.2016.
Metahaven—Vinca Kruk and Daniel van der Velden —an Amsterdam-based “studio for design, research, and art”, whose “work—both commissioned and self-directed—reflects political and social issues in collaboratively produced graphic design objects,” [1] was founded by graphic designers and writers Vinca Kruk and Daniel van der Velden in 2007; Gon Zifroni was a partner between 2007–10. A “strategic graphic design agency,” as they put it in an interview with Rhizome, they “make anything between a conference, a publication, an interview, a product, a visual identity, a policy document, or a set of floating appearances on the Internet. We are not only interested in the development of hypothetical image, but also in its realization.” [2]
Vinca Kruk studied at the Willem de Kooning Academie in Rotterdam, graduating with a BA in graphic design in 2003. Following this, Kruk worked a researcher at the Design Department at the Jan van Eyck Academie in Maastricht until 2005, where she also served as an advising researcher from 2006–07.
Kruk has held various academic positions; a tutor for graphic design at KABK Academie van Beeldende Kunsten, The Hague (2007), and for editorial design at ArtEZ Institute of the Arts (2007–present), she had been appointed mentor at the IM Master Program at the Design Academy Eindhoven (2010) as well as Senior Lecturer at Otis College of Art and Design, Los Angeles (2011–2012).
[1] http://www.metahaven.net/Site/Metahav...
[2] Giampaolo Bianconi, “An interview with Metahaven”, Feb 20th, 2013, available at http://rhizome.org/editorial/2013/feb... (last accessed August 27, 2015)
Revolutionary science in the age of the guillotine
source: The Royal Society 2016年11月8日
Discover how the revolutionary movement in Paris and London helped shape the scientific landscape during the 18th century.
Throughout the French Revolution, the most eminent scientists in France were battling a political crisis, social unrest and fear of execution. Despite this turmoil, Paris (the City of Light) was widely considered one of the richest scientific landscapes in the world.
Across the English Channel, London was facing its own upheaval. As the idea of anarchy was spreading, notable figures such as Joseph Banks and Charles Blagden were busy building their own scientific legacies.
Join Ian Blatchford, Director of the Science Museum and Professor Steve Jones, author of No Need for Geniuses as they discuss how pioneering inventions, guillotines and revolutionary thinking in these two cities changed the future of science.
In partnership with the Science Museum.
LSE Events | The Power and Politics of Flags | Tim Marshall
source: London School of Economics and Political Science 2016年11月23日
A slides+audio presentation from this event is available here: https://www.youtube.com/watch?v=kSGSk...
http://www.lse.ac.uk/newsAndMedia/vid...
The slides for this event can be downlaoded here (pdf): http://www.lse.ac.uk/assets/richmedia...
Speaker(s): Tim Marshall
Chair: Dr Jennifer Jackson Preece
Recorded on 10 November 2016 at Sheikh Zayed Theatre, New Academic Building
For thousands of years, flags have been the visual representation of our hopes and our destinies. We wave them. Burn them. March under their colours..... and still in the 21st Century we die for them. They represent the politics of high power and the politics of the mob. In his lecture, based on his latest book Worth Dying For – the Power and Politics of Flags, he will give essential insight into the symbols which continue to unite and divide us.
Tim Marshall (@Itwitius) is a British journalist, author and broadcaster, known for his highly experienced analysis of developments in foreign affairs. Marshall was formerly diplomatic editor for Sky News and is a guest commentator on world events for BBC, Sky News, and guest presenter on LBC. He has written four books, including New York Times best seller Prisoners of Geography. Tim is founder and editor of news web platform thewhatandthewhy.com, a site for journalists, politicians, foreign affairs analysts to share their views on world affairs.
Jennifer Jackson Preece holds a DPhil in International Relations from Oxford University, and an MA and BA (Hons) in Political Science from the University of British Columbia, Canada. She is the author of two books – National Minorities and the European Nation-States System (OUP, 1998) and Minority Rights: Between Diversity and Community (Polity, 2005) and various articles and edited book chapters. In addition to her academic research, Dr Jackson-Preece acts as a consultant for various international and non-governmental organisations in the area of human and minority rights protection and ethnic conflict regulation.
Jon Stewart | The Crisis of Religion and the Logic of the Gods || Radcli...
source: Harvard University 2016年11月22日
As part of the 2016–2017 Fellows’ Presentation Series at the Radcliffe Institute for Advanced Study, Jon Stewart ’17 examines Georg Wilhelm Friedrich Hegel’s Lectures on the Philosophy of Religion, specifically his accounts of Buddhism, Hinduism, Zoroastrianism, and the Egyptian religion.
Kengo Kuma, “From Concrete to Wood: Why Wood Matters”
source: Harvard GSD 2016年11月10日
The Tohoku earthquake and tsunami shattered coastal cities in Japan in 2011. Kengo Kuma, taking as a point of departure his experiences in the aftermath of that natural disaster, will examine humans’ relationship with nature, questioning the perceived strength of steel and concrete and proposing the reintroduction of wood in design as a fair and practical mediator between humans and nature.
Born in Tokyo, Kuma completed his master’s degree at the University of Tokyo in 1979 and spent time as a visiting scholar at Columbia University before establishing Kengo Kuma & Associates in 1990. Among his many works, recent projects include the Yusuhara Wooden Bridge Museum (2010), which won the 2011 The Minister of Education, Culture, Sports, Science and Technology’s Art Encouragement Prize; the Asakusa Culture and Tourism Center (2012), Nagaoka City Hall Aore (2012), and Ginza Kabukiza (2013). Two of his buildings outside Japan are the Besancon Arts and Culture Center and FRAC Marseilles and Aix-en-Provence Conservatory of Music (both 2013). The firm currently has some one hundred projects ongoing in Europe, the U.S., Japan, China, and elsewhere in Asia. One of the most high-profile of these is the new national stadium for the 2020 Tokyo Olympics.
Since 2009, Kuma has been a professor at the Graduate School of Architecture, University of Tokyo. He has also written more than a dozen books—including Anti-Object (2013)—which have been published not only in Japanese but frequently in English, Chinese, and Korean, earning him a readership in many parts of the world. Kuma is an International Fellow of the Royal Institute of British Architects, an honorary fellow of the American Institute of Architects, and, as of 2009, an Officier de L’Ordre des Arts et des Lettres in France.
Questioning Light | The New School
source: The New School 2016年11月11日
What if a piece of glass could slow the passage of light so much that you could see into the past? Could artificial moons that reflect sunlight illuminate the nightscape? How would the built environment be different if we designed to darkness requirements?
From materials to optics, instincts to cosmos, and reality to perception, this presentation illustrates how much more there is to know about light featuring an immersive, student-designed installation by the Parsons Light-Space Art class.
Guest Speaker:
- Emrah Baki Ulas, Associate, Steensen Varming (London)
Host:
- Glenn Shrum, Assistant Professor and Director of Lighting Design at the School of Constructed Environments.
Sponsored by Parsons School of Constructed Environments (http://www.newschool.edu/parsons/cons...).
The New School | http://newschool.edu
Location: Starr Foundation Hall, University Center, UL102
63 Fifth Avenue, New York, NY 10003
Thursday, November 3, 2016
What is Consciousness Good For?
source: The RSA 2016年11月28日
What is Consciousness Good For? How much of what we do is driven by the automatic and the unconscious? Science has revealed that a surprising amount of our behaviour is driven by unconscious automatic systems in our brain. In fact, conscious thinking can sometimes get in the way of smooth performance. Barry Smith, Director of the Institute of Philosophy, School of Advanced Study, University of London and Nicholas Shea, Philosophy Professor at King's College London, present a new research project bringing together philosophy, psychology and neuroscience to explore the purpose of consciousness.
Follow the RSA on Twitter: https://twitter.com/RSAEvents
Like RSA Events on Facebook: https://www.facebook.com/RSAEventsoff...
Listen to RSA podcasts: https://soundcloud.com/the_rsa
See RSA Events behind the scenes: https://instagram.com/rsa_events/
Alison Gopnik: "The Gardener and the Carpenter" | Talks at Google
source: Talks at Google 2016年11月16日
Dr. Alison Gopnik is a professor at University of California in Berkeley and a world leader in the study of child development and learning. She's written over 100 journal articles and a biweekly column in the Wall Street Journal.
In this talk, Alison contrasts what we "know" about good parenting from popular culture versus what research tells us is really the case.
Jill Fellows: Charlotte Perkins Gilman, "The Yellow Wallpaper," and Franz Kafka, "The Metamorphosis" (27/02/2013)
source: Arts One Open 2013年2月27日
Lecture by Jill Fellows for the "Monster in the Mirror" theme. For more, see http://artsone-digital.arts.ubc.ca/20....
For a version of this video with slides, go to http://mediasitemob1.mediagroup.ubc.c....
Jill Fellows: Simone de Beauvoir, The Second Sex (01/04/2014)
source: Arts One Open 2014年4月1日
Lecture by Jill Fellows for the "Remake/Remodel" theme. For more, see http://artsone-open.arts.ubc.ca/simon....
Note that at the beginning of this lecture, Jill Fellows played the following YouTube video, Ellen on "Bic Pens for Women": https://www.youtube.com/watch?v=eCyw3...
For a version of this video with slides, go to http://mediasitemob1.mediagroup.ubc.c....
Derek Gladwin: Beauvoir, The Second Sex, and Gilman, The Yellow Wall-Paper (31/03/2015)
source: Arts One Open 2015年3月31日
This is a lecture on these two texts for Arts One at the University of British Columbia-Vancouver (Canada).
Derek Gladwin begins this lecture by talking about the various "waves" of feminism in the West, then discusses how woman has become the "other," according to Beauvoir. He then gives some background on S. Weir Mitchell, the doctor who treated Gilman (and whom she mentions in "The Yellow Wall-Paper"), and his approach to treating neurasthenia. Gladwin also discusses various styles of narration and how we might think about the narrator in Gilman's story, as well as the "feminist gothic" and how we can see elements of that in "the Yellow Wall-paper" as well.
For a link to a video of this lecture *with* slides, please click here: http://artsone-open.arts.ubc.ca/beauv...
The license for this video is CC BY-NC 4.0: https://creativecommons.org/licenses/...
Understanding Computers and the Internet by David J. Malan & Dan Armendariz (Harvard Extension School)
# Click the upper-left icon to select videos from the playlist
source: tawkaw OpenCourseWare 2014年5月24日
Lecture 9 Programming 1:34:14
Lecture 8 Website development 1:46:16
Lecture 7 Security cont 1:26:47
Lecture 6 Security 1:34:27
Lecture 5 Multimedia 1:39:51
Lecture 4 The Internet cont 1:33:45
Lecture 3 The Internet 1:37:48
Lecture 2 Hardware cont. 1:43:02
Lecture 1 Hardware 1:39:22
source: tawkaw OpenCourseWare 2014年5月24日
Lecture 9 Programming 1:34:14
Lecture 8 Website development 1:46:16
Lecture 7 Security cont 1:26:47
Lecture 6 Security 1:34:27
Lecture 5 Multimedia 1:39:51
Lecture 4 The Internet cont 1:33:45
Lecture 3 The Internet 1:37:48
Lecture 2 Hardware cont. 1:43:02
Lecture 1 Hardware 1:39:22
Language of the Gods, Part One: The Primordial Mantra, with Debashish Banerji
source: New Thinking Allowed 2015年12月27日
Debashish Banerji, PhD, is Dean of Academic Affairs at the University of Philosophical Research in Los Angeles as well as an adjunct faculty member at Pasadena City College and the California Institute of Integral Studies. He is also the former director of the East West Cultural Center in Los Angeles. He is author of Seven Quartets of Becoming: A Transformative Yoga Psychology Based on the Diaries of Sri Aurobindo and also The Alternative Nation of Abanindranath Tagore, a book about his great grandfather. He edited an anthology about his great uncle, Rabindranath Tagore in the Twenty-First Century.
Here he describes the Indo-European family of languages and the relationship between Sanskrit and other languages of Europe and Asia. The linguistic similarities are also related to cultural and religious similarities. It is notable that the pantheon of gods in the ancient Rig Veda bears a strong resemblance to the Greek pantheon. This is not accidental. In India, Sanskrit developed a unique life as a language used in ritual and as a language for the sacred texts of the Vedanta tradition. These include the Vedas and the Upanishads, the Brahmanas, and the Bhagavat Gita. As such, Sanskrit became a language for contemplation. The very sounds of the language were thought to have the power of altering consciousness. Of particular interest is the mantra, AUM. It is considered to be the primordial sound of the universe that, when repeated, gives access to the entire spectrum of consciousness.
New Thinking Allowed host, Jeffrey Mishlove, PhD, is author of The Roots of Consciousness, Psi Development Systems, and The PK Man. Between 1986 and 2002 he hosted and co-produced the original Thinking Allowed public television series. He is the recipient of the only doctoral diploma in "parapsychology" ever awarded by an accredited university (University of California, Berkeley, 1980). He serves as dean of transformational psychology at the University of Philosophical Research. He teaches parapsychology for ministers in training with the Centers for Spiritual Living through the Holmes Institute. He has served as vice-president of the Association for Humanistic Psychology, and is the recipient of its Pathfinder Award for outstanding contributions to the field of human consciousness. He is also past-president of the non-profit Intuition Network, an organization dedicated to creating a world in which all people are encouraged to cultivate and apply their inner, intuitive abilities.
(Recorded on December 19, 2015)
S. P. Harsha: Strength of Materials (IIT Roorkee)
# click the up-left corner to select videos from the playlist
source: nptelhrd 2009年7月31日
Mechanical - Strength of Materials by Dr. S. P. Harsha, Department of Mechanical & Industrial Engineering, IIT Roorkee.
Lec-1 Solid Mechanics 59:50
Lec-2 Strength of Materials 55:29
Lec-3 Strength of Materials 56:21
Lec-4 Solid Mechanics 54:36
Lec-5 Strength of Materials 53:40
Lec-6 Strength of Materials 53:00
Lec-7 Strength of Materials 56:00
Lec-8 Strength of Materials 58:23
Lec-9 Strength of Materials 53:40
Lec-10 Strength of Materials 57:34
Lec-11 Strength of Materials 56:48
Lec-12 Strength of Materials 57:00
Lec-13 Strength of Materials 54:19
Lec-14 Strength of Materials 50:40
Lec-15 Strength of Materials 57:57
Lec-16 Strength of Materials 48:16
Lec-17 Strength of Materials 56:05
Lec-18 Strength of Materials 46:42
Lec-19 Strength of Materials 50:28
Lec-20 Strength of Materials 1:00:53
Lec-21 Strength of Materials 53:35
Lec-22 Strength of Materials 52:54
Lec-23 Strength of Materials 55:42
Lec-24 Strength of Materials 53:48
Lec-25 Strength of Materials 53:30
Lec-26 Strength of Materials 56:44
Lec-27 Strength of Materials 54:08
Lec-28 Strength of Materials 49:35
Lec-29 Strength of Materials 55:22
Lec-30 Strength of Materials 51:56
Lec-31 Strength of Materials 55:59
Lec-32 Strength of Materials 54:06
Lec-33 Strength of Materials 53:03
Lec-34 Strength of Materials 53:24
Lec-35 Strength of Materials 49:40
Lec-36 Strength of Materials 57:34
Lec-37 Strength of Materials 50:52
Lec-38 Strength of Materials 53:10
Lec-39 Strength of Materials 50:18
Lec-40 Strength of Materials 52:20
source: nptelhrd 2009年7月31日
Mechanical - Strength of Materials by Dr. S. P. Harsha, Department of Mechanical & Industrial Engineering, IIT Roorkee.
Lec-1 Solid Mechanics 59:50
Lec-2 Strength of Materials 55:29
Lec-3 Strength of Materials 56:21
Lec-4 Solid Mechanics 54:36
Lec-5 Strength of Materials 53:40
Lec-6 Strength of Materials 53:00
Lec-7 Strength of Materials 56:00
Lec-8 Strength of Materials 58:23
Lec-9 Strength of Materials 53:40
Lec-10 Strength of Materials 57:34
Lec-11 Strength of Materials 56:48
Lec-12 Strength of Materials 57:00
Lec-13 Strength of Materials 54:19
Lec-14 Strength of Materials 50:40
Lec-15 Strength of Materials 57:57
Lec-16 Strength of Materials 48:16
Lec-17 Strength of Materials 56:05
Lec-18 Strength of Materials 46:42
Lec-19 Strength of Materials 50:28
Lec-20 Strength of Materials 1:00:53
Lec-21 Strength of Materials 53:35
Lec-22 Strength of Materials 52:54
Lec-23 Strength of Materials 55:42
Lec-24 Strength of Materials 53:48
Lec-25 Strength of Materials 53:30
Lec-26 Strength of Materials 56:44
Lec-27 Strength of Materials 54:08
Lec-28 Strength of Materials 49:35
Lec-29 Strength of Materials 55:22
Lec-30 Strength of Materials 51:56
Lec-31 Strength of Materials 55:59
Lec-32 Strength of Materials 54:06
Lec-33 Strength of Materials 53:03
Lec-34 Strength of Materials 53:24
Lec-35 Strength of Materials 49:40
Lec-36 Strength of Materials 57:34
Lec-37 Strength of Materials 50:52
Lec-38 Strength of Materials 53:10
Lec-39 Strength of Materials 50:18
Lec-40 Strength of Materials 52:20
RF Integrated Circuits by Shouribrata Chatterjee (IIT Delhi)
# click the upper-left icon to select videos from the playlist
source: nptelhrd 2012年6月26日
Electronics - RF Integrated Circuits by Dr. Shouribrata Chatterjee, Department of Electrical Engineering, IIT Delhi. For more details on NPTEL visit http://nptel.iitm.ac.in
01 RF system basic architectures 58:19
02 Transmission media reflection 57:46
03 Maximum power transfer 59:43
04 Parallel RLC tank 1:04:24
05 Matching 57:37
06 Other matching networks 59:51
07 Resistors capacitors 1:07:51
08 Inductors 59:00
09 Inductors and wires 59:19
10 Wires 58:03
11 Transmission lines 52:30
12 Device review 1:01:32
13 MOS capacitances 59:12
14 Bandwidth estimation constants 57:01
15 Bandwidth estimation constants (contd) 58:24
16 Bandwidth estimation using short circuit 1:00:30
17 Bandwidth group delay and peaking 58:22
18 Shunt series amplifier 1:00:18
19 Shunt series amplifier contd 59:11
20 Various noise sources 51:51
21 Noise in a mosfet 35:35
22 Motivation first cut design 58:10
23 Motivation first cut design contd 58:11
24 Noise other possible topologies 56:33
25 Multiplier Fundamentals 54:23
26 Mixer non idealties 54:48
27 Mixer non idealties contd 59:54
28 A tank based oscillators 55:13
29 Phase noise in oscillators 57:16
30 Other oscillators topologies 59:22
31 Phase locked loop basics 56:42
32 Charge pump 57:50
33 Pll dynamics integer 59:46
34 Spurious frequencies fractional and synthesis 57:44
35 Fractional spurs 56:50
36 Delta and sigma modulation 56:41
37 Class abc power amplifiers 56:37
38 Class bcd power amplifiers 57:20
39 Class cd pwm amplifiers 1:00:51
40 Course summary and conclusion 46:25
source: nptelhrd 2012年6月26日
Electronics - RF Integrated Circuits by Dr. Shouribrata Chatterjee, Department of Electrical Engineering, IIT Delhi. For more details on NPTEL visit http://nptel.iitm.ac.in
01 RF system basic architectures 58:19
02 Transmission media reflection 57:46
03 Maximum power transfer 59:43
04 Parallel RLC tank 1:04:24
05 Matching 57:37
06 Other matching networks 59:51
07 Resistors capacitors 1:07:51
08 Inductors 59:00
09 Inductors and wires 59:19
10 Wires 58:03
11 Transmission lines 52:30
12 Device review 1:01:32
13 MOS capacitances 59:12
14 Bandwidth estimation constants 57:01
15 Bandwidth estimation constants (contd) 58:24
16 Bandwidth estimation using short circuit 1:00:30
17 Bandwidth group delay and peaking 58:22
18 Shunt series amplifier 1:00:18
19 Shunt series amplifier contd 59:11
20 Various noise sources 51:51
21 Noise in a mosfet 35:35
22 Motivation first cut design 58:10
23 Motivation first cut design contd 58:11
24 Noise other possible topologies 56:33
25 Multiplier Fundamentals 54:23
26 Mixer non idealties 54:48
27 Mixer non idealties contd 59:54
28 A tank based oscillators 55:13
29 Phase noise in oscillators 57:16
30 Other oscillators topologies 59:22
31 Phase locked loop basics 56:42
32 Charge pump 57:50
33 Pll dynamics integer 59:46
34 Spurious frequencies fractional and synthesis 57:44
35 Fractional spurs 56:50
36 Delta and sigma modulation 56:41
37 Class abc power amplifiers 56:37
38 Class bcd power amplifiers 57:20
39 Class cd pwm amplifiers 1:00:51
40 Course summary and conclusion 46:25
Electronics - Pattern Recognition by P. S. Sastry (IISc Bangalore)
# click the upper-left icon to select videos from the playlist
source: nptelhrd 2013年12月1日
Electronics - Pattern Recognition by Prof. P. S. Sastry, Department of Electronics & Communication Engineering, IISc Bangalore. For more details on NPTEL visithttp://nptel.ac.in
01 Introduction to Statistical Pattern Recognition 55:00
02 Overview of Pattern Classifiers 55:39
03 The Bayes Classifier for minimizing Risk 56:41
04 Estimating Bayes Error; Minimax and Neymann-Pearson classifiers 57:16
05 Implementing Bayes Classifier; Estimation of Class Conditional Densities 58:08
06 Maximum Likelihood estimation of different densities 58:16
07 Bayesian estimation of parameters of density functions, MAP estimates 57:06
08 Bayesian Estimation examples; the exponential family of densities and ML estimates 57:05
09 Sufficient Statistics; Recursive formulation of ML and Bayesian estimates 58:07
10 Mixture Densities, ML estimation and EM algorithm 57:27
11 Convergence of EM algorithm; overview of Nonparametric density estimation 58:18
12 Nonparametric estimation, Parzen Windows, nearest neighbour methods 57:30
13 Linear Discriminant Functions; Perceptron -- Learning Algorithm and convergence proof 58:22
14 Linear Least Squares Regression; LMS algorithm 58:16
15 AdaLinE and LMS algorithm; General nonliner least-squares regression 58:18
16 Logistic Regression; Statistics of least squares method; Regularized Least Squares 58:23
17 Fisher Linear Discriminant 58:12
18 Linear Discriminant functions for multi-class case; multi-class logistic regression 57:24
19 Learning and Generalization; PAC learning framework 59:02
20 Overview of Statistical Learning Theory; Empirical Risk Minimization 58:53
21 Consistency of Empirical Risk Minimization 58:35
22 Consistency of Empirical Risk Minimization; VC-Dimension 58:14
23 Complexity of Learning problems and VC-Dimension 58:38
24 VC-Dimension Examples; VC-Dimension of hyperplanes 59:00
25 Overview of Artificial Neural Networks 59:11
26 Multilayer Feedforward Neural networks with Sigmoidal activation functions; 58:57
27 Backpropagation Algorithm; Representational abilities of feedforward networks 59:01
28 Feedforward networks for Classification and Regression; Backpropagation in Practice 58:40
29 Radial Basis Function Networks; Gaussian RBF networks 58:04
30 Learning Weights in RBF networks; K-means clustering algorithm 59:02
31 Support Vector Machines -- Introduction, obtaining the optimal hyperplane 58:54
32 SVM formulation with slack variables; nonlinear SVM classifiers 59:00
33 Kernel Functions for nonlinear SVMs; Mercer and positive definite Kernels 58:45
34 Support Vector Regression and ?-insensitive Loss function, examples of SVM learning 58:40
35 Overview of SMO and other algorithms for SVM; ?-SVM and ?-SVR; SVM as a risk minimizer 58:29
36 Positive Definite Kernels; RKHS; Representer Theorem 58:46
37 Feature Selection and Dimensionality Reduction; Principal Component Analysis 59:14
38 No Free Lunch Theorem; Model selection and model estimation; Bias-variance trade-off 59:53
39 Assessing Learnt classifiers; Cross Validation; 59:50
40 Bootstrap, Bagging and Boosting; Classifier Ensembles; AdaBoost 59:31
41 Risk minimization view of AdaBoost 58:52
source: nptelhrd 2013年12月1日
Electronics - Pattern Recognition by Prof. P. S. Sastry, Department of Electronics & Communication Engineering, IISc Bangalore. For more details on NPTEL visithttp://nptel.ac.in
01 Introduction to Statistical Pattern Recognition 55:00
02 Overview of Pattern Classifiers 55:39
03 The Bayes Classifier for minimizing Risk 56:41
04 Estimating Bayes Error; Minimax and Neymann-Pearson classifiers 57:16
05 Implementing Bayes Classifier; Estimation of Class Conditional Densities 58:08
06 Maximum Likelihood estimation of different densities 58:16
07 Bayesian estimation of parameters of density functions, MAP estimates 57:06
08 Bayesian Estimation examples; the exponential family of densities and ML estimates 57:05
09 Sufficient Statistics; Recursive formulation of ML and Bayesian estimates 58:07
10 Mixture Densities, ML estimation and EM algorithm 57:27
11 Convergence of EM algorithm; overview of Nonparametric density estimation 58:18
12 Nonparametric estimation, Parzen Windows, nearest neighbour methods 57:30
13 Linear Discriminant Functions; Perceptron -- Learning Algorithm and convergence proof 58:22
14 Linear Least Squares Regression; LMS algorithm 58:16
15 AdaLinE and LMS algorithm; General nonliner least-squares regression 58:18
16 Logistic Regression; Statistics of least squares method; Regularized Least Squares 58:23
17 Fisher Linear Discriminant 58:12
18 Linear Discriminant functions for multi-class case; multi-class logistic regression 57:24
19 Learning and Generalization; PAC learning framework 59:02
20 Overview of Statistical Learning Theory; Empirical Risk Minimization 58:53
21 Consistency of Empirical Risk Minimization 58:35
22 Consistency of Empirical Risk Minimization; VC-Dimension 58:14
23 Complexity of Learning problems and VC-Dimension 58:38
24 VC-Dimension Examples; VC-Dimension of hyperplanes 59:00
25 Overview of Artificial Neural Networks 59:11
26 Multilayer Feedforward Neural networks with Sigmoidal activation functions; 58:57
27 Backpropagation Algorithm; Representational abilities of feedforward networks 59:01
28 Feedforward networks for Classification and Regression; Backpropagation in Practice 58:40
29 Radial Basis Function Networks; Gaussian RBF networks 58:04
30 Learning Weights in RBF networks; K-means clustering algorithm 59:02
31 Support Vector Machines -- Introduction, obtaining the optimal hyperplane 58:54
32 SVM formulation with slack variables; nonlinear SVM classifiers 59:00
33 Kernel Functions for nonlinear SVMs; Mercer and positive definite Kernels 58:45
34 Support Vector Regression and ?-insensitive Loss function, examples of SVM learning 58:40
35 Overview of SMO and other algorithms for SVM; ?-SVM and ?-SVR; SVM as a risk minimizer 58:29
36 Positive Definite Kernels; RKHS; Representer Theorem 58:46
37 Feature Selection and Dimensionality Reduction; Principal Component Analysis 59:14
38 No Free Lunch Theorem; Model selection and model estimation; Bias-variance trade-off 59:53
39 Assessing Learnt classifiers; Cross Validation; 59:50
40 Bootstrap, Bagging and Boosting; Classifier Ensembles; AdaBoost 59:31
41 Risk minimization view of AdaBoost 58:52
Subscribe to:
Posts (Atom)