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Results: 1993

#	Item
51	Discriminative Language Modeling with Conditional Random Fields and the Perceptron Algorithm Brian Roark Murat Saraclar AT&T Labs - Research {roark,murat}@research.att.com Add to Reading List Source URL: www.aclweb.org - Date: 2010-06-15 02:38:00
52	arXiv:1411.1147v2 [cs.LG] 10 NovConditional Random Field Autoencoders for Unsupervised Structured Prediction Waleed Ammar Add to Reading List Source URL: arxiv.org - Date: 2014-11-10 20:52:04
53	Admissions Policy and TimelinePOLICY: If a charter school has more pupils who wish to attend than the school has space available, a Public Random Drawing (lottery) must be held to determine admission (20 U. Add to Reading List Source URL: realmcharterschool.org - Date: 2016-01-06 00:32:32
54	Evaluation and optimization of LTE-A Random Access CHannel capacity for M2M communications [Extended Abstract] Soukaina CHERKAOUI Hervé RIVANO Add to Reading List Source URL: womencourage.acm.org - Date: 2016-08-09 09:13:59
55	Fast Patchwork Bootstrap for Quantifying Estimation Uncertainties in Sparse Random Networks Yulia R. Gel Vyacheslav Lyubchich Add to Reading List Source URL: www.mlgworkshop.org - Date: 2016-08-14 01:22:56
56	In this talk, I will introduce hinge-loss Markov random fields (HLMRFs), a new kind of probabilistic graphical model that supports scalable collective inference from richly structured data. HL-MRFs unify three different Add to Reading List Source URL: mmds-data.org - Date: 2016-06-23 15:50:48
57	341 Do . Math. J. DMV Random Matri es and K-Theory for Exa t Add to Reading List Source URL: documenta.sagemath.org - Date: 2014-07-15 07:20:46
58	BPLRU: A Buffer Management Scheme for Improving Random Writes in Flash Storage Hyojun Kim and Seongjun Ahn Software Laboratory of Samsung Electronics, Korea {zartoven, seongjun.ahn}@samsung.com Add to Reading List Source URL: www.usenix.org - Date: 2008-02-27 11:17:10
59	In this talk, I will introduce hinge-loss Markov random fields (HLMRFs), a new kind of probabilistic graphical model that supports scalable collective inference from richly structured data. HL-MRFs unify three different Add to Reading List Source URL: mmds-data.org - Date: 2016-06-23 15:50:48
60	Shallow Discourse Parsing with Conditional Random Fields Sucheta Ghosh Richard Johansson Giuseppe Riccardi Sara Tonelli Department of Information Engineering and Computer Science, University of Trento Add to Reading List Source URL: livingknowledge.europarchive.org - Date: 2012-01-23 05:42:54

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