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Gradient Boosted Decision Trees on Hadoop | BahVideo.com

Gradient Boosted Decision Trees on Hadoop

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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, easy to interpret, and produces highly accurate ...
Multilinear relaxation a tool for  | BahVideo.com

Multilinear relaxation: a tool for ...

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January 14, 2011
Problems involving maximization of submodular functions arise in many applications, such as combinatorial auctions and coverage optimization in wireless networks. Submodular maximization can be ...
Orienting physical networks | BahVideo.com

Orienting physical networks

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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. The goal is to orient the undirected edges so ...
Learning Kernels via Margin-and-Radius Ratios | BahVideo.com

Learning Kernels via Margin-and-Radius Ratios

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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 describe the goodness of a kernel due to the ...
Structured sparsity-inducing norms through  | BahVideo.com

Structured sparsity-inducing norms through ...

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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 their supports. This combinatorial selection ...
How Does the Brain Compute and Compare Values  | BahVideo.com

How Does the Brain Compute and Compare Values ...

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January 14, 2011
Most organisms facing a choice between multiple stimuli will look repeatedly at them, presumably implementing a comparison process between the items’ values. Little is known about the exact ...
Operator Induced Multi-Task Gaussian Processes  | BahVideo.com

Operator Induced Multi-Task Gaussian Processes ...

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January 14, 2011
Ordinary and partial differential equations are extensively used in different branches of science and engineering to model wide variety of phenomena, such as diffusion, stability, wave ...
Online Learning Random Averages  | BahVideo.com

Online Learning: Random Averages, ...

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January 14, 2011
We develop a theory of online learning by defining several complexity measures. Among them are analogues of Rademacher complexity, covering numbers and fat-shattering dimension from statistical ...
Explaining Confounding Factors in eQTL Studies  | BahVideo.com

Explaining Confounding Factors in eQTL Studies ...

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January 13, 2011
Online MKL for Structured Prediction | BahVideo.com

Online MKL for Structured Prediction

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January 13, 2011
Structured prediction (SP) problems are characterized by strong interdependence among the output variables, usually with sequential, graphical, or combinatorial structure [17, 7]. Obtaining good ...
Slice sampling covariance hyperparameters of  | BahVideo.com

Slice sampling covariance hyperparameters of ...

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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 covariance structure can be specified using ...
High-dimensional Statistics Prediction  | BahVideo.com

High-dimensional Statistics: Prediction, ...

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January 13, 2011
This tutorial surveys methodology and theory for high-dimensional statistical inference when the number of variables or features greatly exceeds sample size. Particular emphasis will be placed on ...
High-dimensional Statistics Prediction  | BahVideo.com

High-dimensional Statistics: Prediction, ...

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January 13, 2011
This tutorial surveys methodology and theory for high-dimensional statistical inference when the number of variables or features greatly exceeds sample size. Particular emphasis will be placed on ...
Vision-Based Control Control-Based Vision  | BahVideo.com

Vision-Based Control, Control-Based Vision, ...

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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 design inference and learning algorithms to ...
Codes for Sampling Images over Time and Space | BahVideo.com

Codes for Sampling Images over Time and Space

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January 13, 2011
The human visual system, and almost every digital camera, achieves trichromacy by using sensors of different spectral sensitivity arranged in some spatial pattern. What pattern of spatial ...
Structured Regularization for MKL | BahVideo.com

Structured Regularization for MKL

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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 dualization. MKL can therefore be viewed as ...
Statistical Inference of Protein Structure and  | BahVideo.com

Statistical Inference of Protein Structure and ...

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January 13, 2011
The study of the structure and function of proteins serves up many problems that offer challenges and opportunities for computational and statistical research. I will overview my experiences in ...
Application and research in piezoceramics | BahVideo.com

Application and research in piezoceramics

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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 piezomotors, sensors e.g. for parking pilot and airbag, ...
Lecture 4 - Genetic Engineering cont  | BahVideo.com

Lecture 4 - Genetic Engineering (cont.)

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January 07, 2011
Professor Saltzman continues his presentation on DNA technology by discussing control of gene expression using two methods of RNA silencing: anti-sense therapy and RNA interference. Molecular ...
Lecture 25 - Biomedical Engineers and  | BahVideo.com

Lecture 25 - Biomedical Engineers and ...

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January 07, 2011
In this final lecture, Professor Saltzman talks about artificial organs, with a stress on synthetic biomaterials. First, the body’s responses (immunological and scar healing responses) to foreign ...
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