NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Big Machine Learning...
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Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Big Machine Learning made Easy by Miguel Araujo Miguel Araujo holds a B.S and M.S in computer science from Universidad Antonio de Nebrija and San Diego State University. He is a Machine Learning addict and an active open source hacker that ... Read more
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- -: NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Big Machine Learning...
February 13, 2012 (about 12 years ago)Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Big Machine Learning made Easy by Miguel Araujo Miguel Araujo holds a B.S and M.S in computer science from Universidad Antonio de Nebrija and San Diego State University. He is a Machine Lear...
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- -: NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: A Common GPU...
February 13, 2012 (about 12 years ago)Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: A Common GPU n-Dimensional Array for Python and C by Arnaud Bergeron Abstract: Currently there are multiple incompatible array/matrix/n-dimensional base object implementations for GPUs. This ...
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- -: NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Bootstrapping Big Data...
February 13, 2012 (about 12 years ago)Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Bootstrapping Big Data by Ariel Kleiner Abstract: The bootstrap provides a simple and powerful means of assessing the quality of estimators. However, in settings involving large datasets, the...
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- -: NIPS 2011 Big Learning Workshop - Algorithms, Systems, & Tools for Learning at Scale: NeuFlow...
February 13, 2012 (about 12 years ago)Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: NeuFlow: A Runtime Reconfigurable Dataflow Processor for Vision by Yann LeCun (with Clement Farabet) Yann LeCun is Silver Professor of Computer Science and Neural Science at the Courant Instit...
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- -: NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Parallelizing Training ...
February 13, 2012 (about 12 years ago)Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Parallelizing Training of the Kinect Body Parts Labeling Algorithm by Derek Murray Abstract: We present the parallelized implementation of decision forest training as used in Kinect to train ...
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- -: NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Towards Human Behavior...
February 13, 2012 (about 12 years ago)Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Towards Human Behavior Understanding from Pervasive Data: Opportunities and Challenges Ahead by Nuria Oliver Nuria Oliver is currently the Scientific Director for the Multimedia, HCI and Data ...
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- -: NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: High-Performance Computing...
February 13, 2012 (about 12 years ago)Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: High-Performance Computing Needs Machine Learning...and Vice Versa by Nicolas Pinto Abstract: Large-scale parallelism is a common feature of many neuro-inspired algorithms. In this short paper...
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- -: NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Fast Cross-Validation...
February 14, 2012 (about 12 years ago)Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Fast Cross-Validation via Sequential Analysis by Tammo Kruger Abstract: With the increasing size of today's data sets, finding the right parameter configuration via cross-validation can be an...
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- -: NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Vowpal Wabbit Tutorial
February 14, 2012 (about 12 years ago)Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Tutorial: Vowpal Wabbit by John Langford Abstract: We present a system and a set of techniques for learning linear predictors with convex losses on terascale datasets, with trillions of features,\footnote{T...
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- -: NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Machine Learning's Role...
February 14, 2012 (about 12 years ago)Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Machine Learning's Role in the Search for Fundamental Particles by Daniel Whiteson Daniel Whiteson is an Associate Professor in the Department of Physics & Astronomy at UC Irvine. His research...
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