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Gradient Boosted Decision Trees on Hadoop Gradient Boosted Decision Trees on Hadoop
Channel: VideoLectures
Length: 0
Date: January 14, 2011
Stochastic Gradient Boosted Decision Trees (GBDT) is one of the most widely used learning algorithms in machine learning today. It is adaptable, e...
Multilinear relaxation: a tool for maximization of submodular functions Multilinear relaxation: a tool for maximization of submodular functions
Channel: VideoLectures
Length: 0
Date: January 14, 2011
Problems involving maximization of submodular functions arise in many applications, such as combinatorial auctions and coverage optimization in wi...
Orienting physical networks Orienting physical networks
Channel: VideoLectures
Length: 0
Date: January 14, 2011
In a network orientation problem one is given a mixed graph, consisting of directed and undirected edges, and a set of sourcetarget vertex pairs. ...
Learning Kernels via Margin-and-Radius Ratios Learning Kernels via Margin-and-Radius Ratios
Channel: VideoLectures
Length: 0
Date: January 14, 2011
Most existing MKL approaches employ the large margin principle to learning kernels. However, we point out that the margin itself can not well desc...
Structured sparsity-inducing norms through submodular functions Structured sparsity-inducing norms through submodular functions
Channel: VideoLectures
Length: 0
Date: January 14, 2011
Sparse methods for supervised learning aim at finding good linear predictors from as few variables as possible, i.e., with small cardinality of th...
How Does the Brain Compute and Compare Values at the Time of Decision-Making? How Does the Brain Compute and Compare Values at the Time of Decision-Making?
Channel: VideoLectures
Length: 0
Date: January 14, 2011
Most organisms facing a choice between multiple stimuli will look repeatedly at them, presumably implementing a comparison process between the ite...
Operator Induced Multi-Task Gaussian Processes for Solving Differential Equations Operator Induced Multi-Task Gaussian Processes for Solving Differential Equations
Channel: VideoLectures
Length: 0
Date: January 14, 2011
Ordinary and partial differential equations are extensively used in different branches of science and engineering to model wide variety of phenomen...
Online Learning: Random Averages,  Combinatorial Parameters, and Learnability Online Learning: Random Averages, Combinatorial Parameters, and Learnability
Channel: VideoLectures
Length: 0
Date: January 14, 2011
We develop a theory of online learning by defining several complexity measures. Among them are analogues of Rademacher complexity, covering number...
Explaining Confounding Factors in eQTL Studies using a Dictionary of Latent Variables Explaining Confounding Factors in eQTL Studies using a Dictionary of Latent Variables
Channel: VideoLectures
Length: 0
Date: January 13, 2011
Online MKL for Structured Prediction Online MKL for Structured Prediction
Channel: VideoLectures
Length: 0
Date: January 13, 2011
Structured prediction (SP) problems are characterized by strong interdependence among the output variables, usually with sequential, graphical, or...
Slice sampling covariance hyperparameters of latent Slice sampling covariance hyperparameters of latent
Channel: VideoLectures
Length: 0
Date: January 13, 2011
The Gaussian process (GP) is a popular way to specify dependencies between random variables in a probabilistic model. In the Bayesian framework the...
High-dimensional Statistics: Prediction,  Association and Causal Inference High-dimensional Statistics: Prediction, Association and Causal Inference
Channel: VideoLectures
Length: 2991
Date: January 13, 2011
This tutorial surveys methodology and theory for high-dimensional statistical inference when the number of variables or features greatly exceeds sa...
High-dimensional Statistics: Prediction,  Association and Causal Inference High-dimensional Statistics: Prediction, Association and Causal Inference
Channel: VideoLectures
Length: 4342
Date: January 13, 2011
This tutorial surveys methodology and theory for high-dimensional statistical inference when the number of variables or features greatly exceeds sa...
Vision-Based Control,  Control-Based Vision, and the Information Knot That Ties Them Vision-Based Control, Control-Based Vision, and the Information Knot That Ties Them
Channel: VideoLectures
Length: 3296
Date: January 13, 2011
The purpose of this tutorial is to explore the interplay between sensing and control, to highlight the "information knot" that ties them, and to d...
Codes for Sampling Images over Time and Space Codes for Sampling Images over Time and Space
Channel: VideoLectures
Length: 1578
Date: January 13, 2011
The human visual system, and almost every digital camera, achieves trichromacy by using sensors of different spectral sensitivity arranged in some...
Structured Regularization for MKL Structured Regularization for MKL
Channel: VideoLectures
Length: 0
Date: January 13, 2011
It was realized soon after the introduction of Multiple Kernel Learning that l1 - regularization and its groupwise extension are related to MKL by ...
Statistical Inference of Protein Structure and Function Statistical Inference of Protein Structure and Function
Channel: VideoLectures
Length: 0
Date: January 13, 2011
The study of the structure and function of proteins serves up many problems that offer challenges and opportunities for computational and statistic...
Application and research in piezoceramics Application and research in piezoceramics
Channel: VideoLectures
Length: 0
Date: January 12, 2011
The world’s market on piezoceramics is about 10 billion dollar per year. Main applications are actuators, e.g. for fuel injection and for piezomot...
Lecture 4 - Genetic Engineering (cont.) Lecture 4 - Genetic Engineering (cont.)
Channel: VideoLectures
Length: 0
Date: January 07, 2011
Professor Saltzman continues his presentation on DNA technology by discussing control of gene expression using two methods of RNA silencing: anti-s...
Lecture 25 - Biomedical Engineers and Artificial Organs Lecture 25 - Biomedical Engineers and Artificial Organs
Channel: VideoLectures
Length: 0
Date: January 07, 2011
In this final lecture, Professor Saltzman talks about artificial organs, with a stress on synthetic biomaterials. First, the body’s responses (imm...
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