Embedded thumbnail for Jed Singer: Neural Coding
Jed Singer: Neural Coding
Recorded:
Jun 2, 2014
Uploaded:
June 2, 2014
Part of
Brains, Minds and Machines Summer Course 2014
CBMM Speaker(s):
Jed Singer
Topics: Characterizing neural firing rates, tuning curves, identifying effective stimuli, modeling spike trains, integrating information across time and across neurons, estimating response using reverse correlation, decoding fundamentals, two-way...
Embedded thumbnail for Sam Gershman (continuation of previous talk), and Josh Tenenbaum: Bayesian Inference
Sam Gershman (continuation of previous talk), and Josh Tenenbaum: Bayesian Inference
Recorded:
May 31, 2014
Uploaded:
May 31, 2014
Part of
All Captioned Videos, Brains, Minds and Machines Summer Course 2014
CBMM Speaker(s):
Samuel Gershman, Joshua Tenenbaum
Topics: (Sam Gershman) Application of Bayesian learning to motion perception; automatic structure learning
(Joshua Tenenbaum) Learning to learn: hierarchical Bayes; empirical studies of word learning and the relevant object features; transfer...
Embedded thumbnail for Sam Gershman: Structure Learning, Clusters, Features, and Functions
Sam Gershman: Structure Learning, Clusters, Features, and Functions
Recorded:
May 31, 2014
Uploaded:
May 31, 2014
Part of
All Captioned Videos, Brains, Minds and Machines Summer Course 2014
CBMM Speaker(s):
Samuel Gershman
Topics: Basic introduction to parameter learning, structure learning, nonparametric Bayes, mixture models, conditioning as clustering, learning relational concepts, multi-level category learning, latent feature models, function learning, Gaussian...
Embedded thumbnail for Lorenzo Rosasco: Learning Theory, Part 1 (local methods, bias-variance, cross validation) and Part 2 (regularization: linear least squares, kernel least squares)
Lorenzo Rosasco: Learning Theory, Part 1 (local methods, bias-variance, cross validation) and Part 2 (regularization: linear least squares, kernel least squares)
Recorded:
May 30, 2014
Uploaded:
May 30, 2014
Part of
All Captioned Videos, Brains, Minds and Machines Summer Course 2014
CBMM Speaker(s):
Lorenzo Rosasco
Topics: Supervised learning, nearest neighbor methods and overfitting, k-nearest neighbors - choosing k, bias-variance tradeoff, cross validation, regularization, least squares, linear systems, computational complexity, kernel least squares using...
Embedded thumbnail for Lorenzo Rosasco: Learning Theory, Part 3 (variable selection (OMP), dimensionality reduction (PCA))
Lorenzo Rosasco: Learning Theory, Part 3 (variable selection (OMP), dimensionality reduction (PCA))
Recorded:
May 30, 2014
Uploaded:
May 30, 2014
Part of
All Captioned Videos, Brains, Minds and Machines Summer Course 2014
CBMM Speaker(s):
Lorenzo Rosasco
Topics: Determining which variables are important for prediction (e.g. given n patients and p genes, which genes are most important for prediction), sparsity (only some coefficients are non-zero), brute force, greedy approaches/matching pursuit,...
Embedded thumbnail for Lorenzo Rosasco: Learning Theory, MATLAB practical session
Lorenzo Rosasco: Learning Theory, MATLAB practical session
Recorded:
May 30, 2014
Uploaded:
May 30, 2014
Part of
Brains, Minds and Machines Summer Course 2014
CBMM Speaker(s):
Lorenzo Rosasco
Embedded thumbnail for Tomaso Poggio: Learning as the Prototypical Inverse Problem
Tomaso Poggio: Learning as the Prototypical Inverse Problem
Recorded:
May 29, 2014
Uploaded:
May 29, 2014
Part of
All Captioned Videos, Brains, Minds and Machines Summer Course 2014
CBMM Speaker(s):
Tomaso Poggio
Topics: Overview of learning tasks and methods, ill-posedness and regularization, basic concepts and notation; supervised learning: given training set of labeled examples drawn from a probability distribution, find a function that predicts the...
Embedded thumbnail for L. Mahadevan: Ill Posed Problems
L. Mahadevan: Ill Posed Problems
Recorded:
May 29, 2014
Uploaded:
May 29, 2014
Part of
All Captioned Videos, Brains, Minds and Machines Summer Course 2014
CBMM Speaker(s):
L. Mahadevan
Topics: Inverse problems are pervasive in physics, geophysics, biology, engineering; definition of direct vs. inverse problem; direct problem may involve linear or nonlinear operator, and there may be noise; definition of well-posed problems (...
Embedded thumbnail for Tomaso Poggio, Introduction, Summer Course on Brains, Minds and Machines
Tomaso Poggio, Introduction, Summer Course on Brains, Minds and Machines
Recorded:
May 29, 2014
Uploaded:
May 29, 2014
Part of
All Captioned Videos, Brains, Minds and Machines Summer Course 2014
CBMM Speaker(s):
Tomaso Poggio
Topics: Introduction to the Center for Brains, Minds and Machines; aims of the summer course; understanding intelligence - how the brain and mind perform intelligent computations and how to make smarter machines - requires the integration of methods...
Embedded thumbnail for CBMM Weekly Research Meeting: Parsing Objects and Scenes in Two- and Three-Dimensions
CBMM Weekly Research Meeting: Parsing Objects and Scenes in Two- and Three-Dimensions
Recorded:
May 16, 2014
Uploaded:
May 16, 2014
Part of
All Captioned Videos, CBMM Special Seminars
CBMM Speaker(s):
Alan L. Yuille

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