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Supervised learning
Results: 1557

#	Item
881	Learning from Ambiguously Labeled Images Timothee Cour, Benjamin Sapp, Chris Jordan, Ben Taskar University of Pennsylvania 3330, Walnut Street {timothee,bensapp,wjc,taskar}@seas.upenn.edu Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2013-04-28 17:51:48 Statistical classification Elementary mathematics Semantics Function Supervised learning Support vector machine Ambiguity Linear classifier M-estimator Statistics Machine learning Mathematics
882	Research Statement Joseph E. Gonzalez [removed] Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2015-01-12 02:03:56 GraphLab Machine learning Parallel computing Distributed computing Algorithm Supervised learning Graph coloring Belief propagation Parallel algorithm Mathematics Applied mathematics Graph theory
883	A Critical Evaluation of Website Fingerprinting Attacks Marc Juarez1 , Sadia Afroz2 , Gunes Acar1 , Claudia Diaz1 , Rachel Greenstadt3 1 KU Leuven, ESAT/COSIC and iMinds, Leuven, Belgium Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2014-11-04 17:33:37 Internet privacy Naive Bayes classifier Supervised learning Tor Support vector machine Alexa Internet Classifier Proxy server Statistics Statistical classification Machine learning
884	THE DATA DELUGE: CHALLENGES AND OPPOR TUNITIES OF UNLIMITED DATA IN STATISTICAL SIGNAL PROCESSING Michael L. Seltzer1 and Lei Zhang2 1. Speech Technology Group Microsoft Research Redmond, WA USA Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-05-07 20:15:46 Natural language processing Computational linguistics Artificial intelligence applications Machine learning Image search Search engine indexing Content-based image retrieval Image retrieval Semi-supervised learning Science Information science Artificial intelligence
885	TuPAQ: An Efficient Planner for Large-scale Predictive Analytic Queries Evan R. Sparks Ameet Talwalkar Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-02-02 20:52:57 Model selection PAQ Decision trees Ensemble learning Predictive analytics Supervised learning Grid search Random forest Feature selection Statistics Machine learning Artificial intelligence
886	Convolutional Neural Networks Applied to House Numbers Digit Classification Pierre Sermanet, Soumith Chintala and Yann LeCun The Courant Institute of Mathematical Sciences - New York University {sermanet,soumith,yann}@cs Add to Reading List Source URL: yann.lecun.com Language: English - Date: 2012-08-08 15:24:44 Learning Supervised learning Yann LeCun Statistical classification Neural network Pattern recognition Linear classifier Unsupervised learning Machine learning Artificial intelligence Statistics
887	Learning Invariant Feature Hierarchies Yann LeCun Courant Institute, New York University Abstract. Fast visual recognition in the mammalian cortex seems to be a hierarchical process by which the representation of the vis Add to Reading List Source URL: yann.lecun.com Language: English - Date: 2012-10-12 04:14:26 Learning Yann LeCun Unsupervised learning Neural network Supervised learning Pattern recognition Neocognitron Sparse coding Machine learning Artificial intelligence Science
888	Playscript Classification and Automatic Wikipedia Play Articles Generation Siddhartha Banerjee Cornelia Caragea Add to Reading List Source URL: www.cse.unt.edu Language: English - Date: 2014-04-24 23:47:10 Ensemble learning Machine learning Parts of speech Data mining Naive Bayes classifier Automatic summarization Support vector machine Classifier Supervised learning Statistics Statistical classification Artificial intelligence
889	Emergence of Object-Selective Features in Unsupervised Feature Learning Adam Coates, Andrej Karpathy, Andrew Y. Ng Computer Science Department Stanford University Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2012-11-23 20:28:37 Computational statistics Computer vision Pattern recognition Object recognition Supervised learning Invariant Cluster analysis Unsupervised learning K-means clustering Statistics Machine learning Artificial intelligence

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