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Ben Taskar
Results: 48

#	Item
11	Semi-Supervised Learning with Adversarially Missing Label Information Umar Syed Ben Taskar Department of Computer and Information Science Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2010-11-04 10:51:45 Machine learning Manifold regularization Semi-supervised learning Supervised learning Stability Pattern recognition Support vector machine Linear classifier Multiple instance learning Loss function Statistical learning theory Generalization error
12	Wiki-ly Supervised Part-of-Speech Tagging Shen Li Jo˜ao V. Grac¸a Ben Taskar 2 Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2012-08-25 20:12:04 Computational linguistics Corpus linguistics Applied linguistics Semantics Natural language processing Wiktionary Part-of-speech tagging Word-sense disambiguation Treebank Brown Corpus Suffix Tagger
13	http://priml.upenn.edu PRιML Penn Research in Machine Learning School of Engineering & Applied Science \| The Wharton School Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2010-09-27 18:27:34 Michael Kearns Mohri Boosting Machine learning Bayesian network Robert Schapire Littmann Nonparametric statistics Ben Taskar
14	Near-Optimal MAP Inference for Determinantal Point Processes Jennifer Gillenwater Alex Kulesza Ben Taskar Computer and Information Science University of Pennsylvania {jengi,kulesza,taskar}@cis.upenn.edu Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2012-11-12 14:20:02 Operations research Submodular set function Combinatorial optimization Automatic summarization Linear programming Mathematical optimization Optimization problem BroydenFletcherGoldfarbShanno algorithm Algorithm Greedy algorithm Limited-memory BFGS A* search algorithm
15	Structured Prediction Cascades David Weiss and Ben Taskar University of Pennsylvania Abstract Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2010-07-29 22:32:37 Graphical models General topology Structured prediction Machine learning Statistical classification Conditional random field Net Constructible universe Bayesian network Support vector machine Filter Clique
16	Efficient Second-Order Gradient Boosting for Conditional Random Fields Tianqi Chen Sameer Singh Ben Taskar Add to Reading List Source URL: jmlr.org Language: English - Date: 2016-05-01 21:17:10
17	Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data Dragomir Anguelov Ben Taskar† Vassil Chatalbashev Daphne Koller Dinkar Gupta Geremy Heitz Andrew Ng Computer Science Department † EECS Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-04-06 22:34:35
18	Max-Margin Markov Networks Ben Taskar Carlos Guestrin Daphne Koller {btaskar,guestrin,koller}@cs.stanford.edu Stanford University Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-03-31 17:58:15
19	Probabilistic Models of Text and Link Structure for Hypertext Classification Lise Getoor Eran Segal Ben Taskar Add to Reading List Source URL: genie.weizmann.ac.il Language: English - Date: 2008-01-17 03:42:21
20	Efficient Second-Order Gradient Boosting for Conditional Random Fields Tianqi Chen Sameer Singh Ben Taskar Add to Reading List Source URL: sameersingh.org Language: English - Date: 2016-03-01 20:33:28 Mathematical analysis Machine learning Mathematics Functional analysis Ensemble learning Conditional random field Distribution Gradient boosting LogitBoost Convolution Characteristic function

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