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Predavanje 13 Channel: VideoLectures Length: 2675 Date: January 22, 2011

Institutional Perspectives on Storage Channel: VideoLectures Length: 0 Date: January 22, 2011 European archivists grapple with the legal obligations, civic responsibilities and future prospects of their collections, which, thanks to the Int...

Phoneme Recognition with Large Hierarchical Reservoirs Channel: VideoLectures Length: 0 Date: January 15, 2011 Automatic speech recognition has gradually improved over the years, but the reliable recognition of unconstrained speech is still not within reach...

Information-theoretic lower bounds on the oracle complexity of sparse convex optimization Channel: VideoLectures Length: 0 Date: January 15, 2011 Relative to the large literature on upper bounds on complexity of convex optimization, lesser attention has been paid to the fundamental hardness ...

Robust PCA and Collaborative Filtering: Rejecting Outliers, Identifying Manipulators Channel: VideoLectures Length: 0 Date: January 15, 2011 Principal Component Analysis is one of the most widely used techniques for dimensionality reduction. Nevertheless, it is plagued by sensitivity to...

The Multidimensional Wisdom of Crowds Channel: VideoLectures Length: 0 Date: January 15, 2011 Distributing labeling tasks among hundreds or thousands of annotators is an increasingly important method for annotating large datasets. We present...

Multiple Kernel Learning for Efficient Conformal Predictions Channel: VideoLectures Length: 0 Date: January 15, 2011 The Conformal Predictions framework is a recent development in machine learning to associate reliable measures of confidence with results in classi...

Parallel Online Learning Channel: VideoLectures Length: 0 Date: January 15, 2011

The Learning Behind the Gmail Priority Inbox Channel: VideoLectures Length: 0 Date: January 15, 2011

Distributed Markov chain Monte Carlo Channel: VideoLectures Length: 0 Date: January 15, 2011 We consider the design of Markov chain Monte Carlo (MCMC) methods for large-scale, distributed, heterogeneous compute facilities, with a focus on ...

Building Heterogeneous Platforms for End-to-end Online Learning Based on Dataflow Computing Design Channel: VideoLectures Length: 0 Date: January 15, 2011

Linear Complementarity for Regularized Policy Evaluation and Improvement Channel: VideoLectures Length: 0 Date: January 15, 2011 Recent work in reinforcement learning has emphasized the power of L1 regularization to perform feature selection and prevent overfitting. We propos...

MapReduce/Bigtable for Distributed Optimization Channel: VideoLectures Length: 0 Date: January 15, 2011 For large data it can be very time consuming to run gradient based optimizat ion,for example to minimize the log-likelihood for maximum entropy mod...

Lecture 19 - Biomechanics and Orthopedics (cont.) Channel: VideoLectures Length: 0 Date: January 15, 2011 Professor Saltzman begins the lecture with discussion of the importance of motion for the survival and propagation of any living species. He presen...

Efficient space-variant blind deconvolution Channel: VideoLectures Length: 0 Date: January 14, 2011 Blur in photos due to camera shake, blur in astronomical image sequences due to atmospheric turbulence, and blur in magnetic resonance imaging seq...

Mixing sum-product and max-product type updates to tighten tree-reweighted upper bounds for the log-partiton function Channel: VideoLectures Length: 0 Date: January 14, 2011

A Dirty Model for Multi-task Learning Channel: VideoLectures Length: 0 Date: January 14, 2011 We consider the multiple linear regression problem, in a setting where some of the set of relevant features could be shared across the tasks. A lo...

Linear Algebra and Machine Learning of Large Informatics Graphs Channel: VideoLectures Length: 0 Date: January 14, 2011 Very large informatics graphs such as large social and information networks typically have properties that render many popular machine learning and...

Averaging algorithms and distributed optimization Channel: VideoLectures Length: 0 Date: January 14, 2011 In distributed averaging and consensus algorithms, processors exchange and update certain values (or "estimates", or "opinions") by forming a loca...

An Incremental Subgradient Algorithm for Approximate MAP Estimation in Graphical Models Channel: VideoLectures Length: 0 Date: January 14, 2011 We present an incremental subgradient algorithm for approximate computation of maximum-a-posteriori (MAP) states in cyclic graphical models. Its mo...

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