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Streaming Video - Spring 2001
Welcome
to the MSRI Video Archive, Click on the triangle icons to expand/contract the list.
MSRI: Spring 2004
MSRI: Fall 2003
MSRI: Spring 2003
MSRI: Fall 2002
MSRI: Spring 2002
MSRI: Fall 2001
MSRI: Spring 2001
January 22 - 27, 2001
*Due to techincal difficulties, there is no video for this lecture
February 09 - 11, 2001
March 1 - 3, 2001
March 12 - 16, 2001
March 19 - 29, 2001
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Robert Gray:
Gauss mixture vector quantization: Clustering Gauss mixtures with the minimum discrimination information distortion for modeling, compression, and classification
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Tom Dietterich:
Some experiments with ensemble methods for classification and conditional density estimation
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Edward I. George:
Dilution priors for model uncertainty
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Maria DeIorio, Peter Mueller, Gary Rosner & Steven MacEachern:
An ANOVA model for dependent random measures with an application to population models
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Ernest Fokoue:
Aspects of stochastic simulation based inference for some mixtures of latent structures
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Yuhong Yang:
Combining regression estimators under a fixed design
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David Scott:
Clustering by partial mixture estimation
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Angelika van der Linde:
Model complexity and model priors
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Grace Wahba:
Optimal properties and adaptive tuning of support vector machines (SVM's)
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Robert Burbidge:
Adaptive kernels for SV classification
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Mario A. T. Figueiredo:
Unsupervised sparse regression
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Steve Ellis:
Instability in nonlinear estimation and classification
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Charles Stone:
Extended linear modeling with splines
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Linda Zhao:
Bayesian approaches in nonparametric estimation problems
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Charles Kooperberg & Charles Stone:
Logspline density estimation with free-knot splines
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Jennifer Pittman:
Adaptive splines and genetic algorithms with an application to classification
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Heping Zhang:
Mixed-effects multivariate adaptive splines models: An automated procedure for fitting longitudinal data and growth curves
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Sally Wood:
Bayesian mixture splines for spatially adaptive nonparametric regression
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Michael Jordan:
Variational inference for clustering and classification
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Bill Cleveland:
Modeling internet traffic
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John Rice:
A simple model for a complex system: Predicting travel times on freeways
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Andrew Nobel:
Denoising deterministic time series
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Barbara Bailey:
A statistical approach to quantifying the predictability of noisy nonlinear systems
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Claudia Tebaldi:
Looking for nonlinearities in the large scale dynamics of the atmosphere
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Nando DeFreitas:
Non-stationary, nonlinear classification and model selection
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Ashis Gangopadhyay & Kin Cheung:
Semiparametric estimation of the long-memory parameter in farima models
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Terry Speed:
Nonlinear estimation and classification: Challenges from genomics
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Gilles Blanchard:
Bounding generalization error of aggregate classifiers through empirical margin distributions
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Servane Gey & Elodie Nedelec:
Model selection for CART regression trees
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Adam Krzyzak:
Nonlinear function learning and classification using optimal radial basis function networks
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Ludger Ruschendorf:
On adaptive estimation by neural nets type estimators
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Alexandre Tsybakov:
Fast rates and adaptation in nonparametric classification
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Richard Baraniuk:
Besov vs. Plato: Multiscale image modeling
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Martin Vetterli:
Wavelets, Approximation Compression and Sampling: Review and New Results
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Ronald DeVore:
Harmonic Analysis of BV
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Minh Do and Martin Vetterli:
Texture characterization and retrieval using steerable hidden Markov models
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Maarten Jansen:
Thresholding second generation wavelet coefficients for noisy, non-equispaced data
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Eric Kolaczyk and Robert Nowak:
A multiresolution analysis for statistical likelihoods: Theory and methods
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Donald Geman:
Coarse-to-fine classification and visual indexing
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Tomaso Poggio:
From bits to information: Theory and applications of learning machines
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David Denison:
Bayesian prediction using adaptive ridge estimators
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Jorg Rahnenfuhrer:
Data compression and statistical inference
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Juan Lin:
Local curved gaussian models
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Amy Braverman:
Compressing and analyzing massive geophysical data sets by Monte Carlo extended ECVQ
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Rahul Shukla, Minh Do and Martin Vetterli:
Best adaptive tiling in a rate-distortion sense
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Enrico Capobianco:
Multi-resolution properties of semi-parametric volatility models
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Harri Kiiveri:
Environmental monitoring using a time series of satellite images and other spatial data sets
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Adrian Raftery:
Bayesian multidimensional scaling and choice of dimension
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Katherine Pollard and Mark van der Laan:
Computationally intensive statistical methods for microarray based drug discovery
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Alexander Loguinov, Rus Yukhananov, Christopher Vulpe and Saira Mian:
Using robust and resistant regression analysis (MM-estimator) to find differentially expressed genes in microarray data
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Ingo Ruczinski, Charles Kooperberg and Michael L. LeBlanc:
Logic Regression
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Jerome Friedman:
Predictive data mining with multiple additive regression trees
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Rob Schapire:
Logistic regression, AdaBoost and Bregman distances
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Margaret H. Wright:
Where does mainstream optimization fit?
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Steve Marron:
High dimension - low sample size data analysis
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Vin de Silva:
A global geometric framework for nonlinear dimensionality reduction
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Jacqueline J. Meulman:
Multivariate optimal scaling techniques for the analysis of large and complicated data sets
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Nelson Butuk:
Construction of low dimensional DME reaction state space trajectories
March 30 - April 1, 2001
April 23 - 27, 2001
April 29 - May 1, 2001
April 30 - May 4, 2001
May 7 - 11, 2001
*
Due to technical difficulties, the first half of this lecture has no audio
May 29 - June 1, 2001
June 25 - July 6, 2001
Lecture Series:
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Frank Morgan:
Geometric Measure Theory and the Proof of the Double Bubble Conjecture, Lecture 1
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Frank Morgan:
Geometric Measure Theory and the Proof of the Double Bubble Conjecture, Lecture 2
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Frank Morgan:
Geometric Measure Theory and the Proof of the Double Bubble Conjecture, Lecture 3
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Frank Morgan:
Geometric Measure Theory and the Proof of the Double Bubble Conjecture, Lecture 4
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Frank Morgan:
Geometric Measure Theory and the Proof of the Double Bubble Conjecture, Lecture 5
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Frank Morgan:
Geometric Measure Theory and the Proof of the Double Bubble Conjecture, Lecture 6
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Frank Morgan:
Geometric Measure Theory and the Proof of the Double Bubble Conjecture, Lecture 7
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Frank Morgan:
Geometric Measure Theory and the Proof of the Double Bubble Conjecture, Lecture 8
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Frank Morgan:
Geometric Measure Theory and the Proof of the Double Bubble Conjecture, Lecture 9
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Matthias Weber:
Computational Aspects of Minimal Surface Theory, Lecture 1
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Matthias Weber:
Computational Aspects of Minimal Surface Theory, Lecture 2
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Matthias Weber:
Computational Aspects of Minimal Surface Theory, Lecture 3
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Matthias Weber:
Computational Aspects of Minimal Surface Theory, Lecture 4
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Matthias Weber:
Computational Aspects of Minimal Surface Theory, Lecture 5
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Konrad Polthier:
Lecture 1
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Konrad Polthier:
Lecture 2
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Konrad Polthier:
Lecture 3
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Rick Schoen:
Mean Curvature in Riemannian Geometry and General Relativity, Lecture 1
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Rick Schoen:
Mean Curvature in Riemannian Geometry and General Relativity, Lecture 2
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Rick Schoen:
Mean Curvature in Riemannian Geometry and General Relativity, Lecture 3
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Brian White:
Minimal Surfaces and Total Curvature of Curves
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Brian White:
The Classical Plateau Problem
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Brian White:
Flat Chains Over General Coefficient Groups
Background Lectures:
Individual Talks
CMI Summer School Research Component
July 9 - July 27, 2001
Third Week Lecture Series
Third Week Seminar Lectures
Fourth Week Lecture Series
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Harold Rosenberg:
Properly Embedded Minimal Surfaces in R^3 of Finite Topology, I
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Harold Rosenberg:
Properly Embedded Minimal Surfaces in R^3 of Finite Topology, II
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Harold Rosenberg:
Properly Embedded Minimal Surfaces in R^3 of Finite Topology, III
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Bill Meeks:
Properly Embedded Minimal Surfaces in R^3 of Finite Topology, IV
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Bill Meeks:
Properly Embedded Minimal Surfaces in R^3 of Finite Topology, V
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Martin Traizet:
Construction of Minimal Surfaces by Gluing Weierstrass Representations, I
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Martin Traizet:
Construction of Minimal Surfaces by Gluing Weierstrass Representations, II
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Martin Traizet:
Construction of minimal Surfaces by Gluing Weierstrass Representations, III
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Nicolaos Kapouleas:
Constructions of Minimal Surfaces by Gluing Minimal Immersion, I
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Nicolaos Kapouleas:
Constructions of Minimal Surfaces by Gluing Minimal Immersion, II
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Bill Minicozzi:
Embedded Minimal Surfaces in a Ball, I
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Bill Minicozzi:
Embedded Minimal Surfaces in a Ball, II
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Bill Minicozzi:
Embedded Minimal Surfaces in a Ball, III
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Bill Minicozzi:
Embedded Minimal Surfaces in a Ball, IV
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Bill Minicozzi:
Embedded Minimal Surfaces in a Ball, V
Fourth Week Seminar Lectures
Fifth Week Lecture Series
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Rick Schoen:
Variational Problems in Lagrangian Geometry: Special Lagrangian Submanifolds, Part I
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Rick Schoen:
Variational Problems in Lagrangian Geometry: Special Lagrangian Submanifolds, Part II
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Jon Wolfson:
Variational Problems in Lagrangian Geometry: Special Lagrangian Submanifolds, Part III
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Dominic Joyce:
Constructions of Special Lagrangian m-folds in $\C^m$
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Dominic Joyce:
Special Lagrangian Fibrations and the SYZ Conjecture
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Joel Hass:
Topology of Minimal Surfaces in 3-manifolds, Part I
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Joel Hass:
Topology of Minimal Surfaces in 3-manifolds, Part II
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Joachim Hyam Rubinstein:
Topology of Minimal Surfaces in 3-manifolds, Part I
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Joachim Hyam Rubinstein:
Topology of Minimal Surfaces in 3-manifolds, Part II
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Joachim Hyam Rubinstein:
Topology of Minimal Surfaces in 3-manifolds, Part III
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Pascal Collin:Asymptotic geometry of embedded Bryant surfaces, Part I
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Pascal Collin:Asymptotic geometry of embedded Bryant surfaces, Part II
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Pascal Collin:Asymptotic geometry of embedded Bryant surfaces, Part III
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Karsten Grosse-Brauckmann:
The Conjugate Cousin Construction for Constant-Mean-Curvature Surfaces in Three Space
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Karsten Grosse-Brauckmann:
Existence of Constant Mean Curvature Surfaces with Finite Topology and Genus Zero
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Joachim Hyam Rubinstein:
The Steiner Problem in 3-dimensions and Applications, Part I
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Joachim Hyam Rubinstein:
The Steiner Problem in 3-dimensions and Applications, Part II
Fifth Week Seminar Lectures
August 13 - 24, 2001
Non-Workshop Lectures
MSRI: Fall 2000
MSRI: Spring 2000
MSRI: Fall 1999
MSRI: Spring 1999
MSRI: Fall 1998
MSRI: Spring 1998
MSRI: 1993-1997
MSRI User Education Seminars
Lectures from Other Organizations: 2002 - 2003
Lectures from Other Organizations: 2000 - 2001
Lectures from Other Organizations: 1998 - 1999
Lectures from Other Organizations: 1996 - 97
Lectures for the General Public
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