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Structured prediction
Results: 105

#	Item
31	Learning Online Smooth Predictors for Realtime Camera Planning using Recurrent Decision Trees ˚ Jianhui Chen ˚ Add to Reading List Source URL: www.yisongyue.com Language: English - Date: 2016-03-21 19:21:46 Machine learning Artificial intelligence Learning Kalman filter Decision tree learning Conditional random field Pattern recognition Loss function Semi-supervised learning Structured prediction Prediction Artificial neural network
32	Structured and Infinite Discriminative Models for Speech Recognition Jingzhou Yang Homerton College Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2016-07-26 12:00:52 Statistics Learning Artificial intelligence Machine learning Statistical models Statistical inference Graphical models Structured prediction Discriminative model Conditional random field Generative model Hidden Markov model
33	MNIT-FIRE-NER-HINDI Report for NER Track at FIRE 2013 Lokesh Kumar Sharma1, Dr. Namita Mittal2 1 PhD Scholar, 2Asst. Professor Add to Reading List Source URL: www.isical.ac.in Language: English - Date: 2013-11-28 04:43:30 Computational linguistics Artificial neural networks Named-entity recognition Computational science Perceptron Artificial intelligence Natural language processing Algorithm NP Linguistics Structured prediction Part-of-speech tagging
34	UNIVERSIDADE TÉCNICA DE LISBOA INSTITUTO SUPERIOR TÉCNICO CARNEGIE MELLON UNIVERSITY The Geometry of Constrained Structured Prediction: Add to Reading List Source URL: users.isr.ist.utl.pt Language: English - Date: 2012-07-25 04:27:02 Machine learning Structured prediction Algorithm Mathematical logic Theoretical computer science Conditional random field Support vector machine Graphical model
35	AMRITA@FIRE-2014: Named Entity Recognition for Indian Languages Abinaya.N, Neethu John, Dr.M.Anand Kumar and Dr.K.P Soman Center for Excellence in Computational Engineering and Networking Amrita School of Engineering Amr Add to Reading List Source URL: www.isical.ac.in Language: English - Date: 2014-12-05 23:51:05 Computational linguistics Named-entity recognition Conditional random field Structured prediction Malayalam Support vector machine Machine translation Entity
36	Large-margin Structured Learning for Link Ranking Stephen H. Bach Bert Huang Lise Getoor Department of Computer Science University of Maryland College Park, MD 20742 Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2013-11-15 11:47:48 Regression analysis Structured prediction Support vector machines Statistical classification Machine learning Ordinal regression Loss function Mathematical optimization Hinge loss Loss functions for classification
37	On Herding and the Perceptron Cycling Theorem Andrew E. Gelfand, Yutian Chen, Max Welling Department of Computer Science University of California, Irvine {agelfand,yutianc,welling}@ics.uci.edu Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Machine learning Artificial neural networks Perceptron Conditional random field Supervised learning Pattern recognition Generalization error Structured prediction Kernel perceptron
38	Published as a conference paper at ICLRS EQUENCE L EVEL T RAINING WITH R ECURRENT N EURAL N ETWORKS arXiv:1511.06732v5 [cs.LG] 12 Feb 2016 Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-02-14 20:41:00 Computational linguistics Natural language processing Computational neuroscience Computational statistics Recurrent neural network Speech recognition Automatic summarization Artificial neural network Algorithm Structured prediction N-gram Cross entropy
39	Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction Stephen H. Bach Bert Huang Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2013-11-10 21:52:40 Graphical models Markov models Probability theory Markov random field Structured prediction Bayesian network Random field Markov chain Support vector machine Markov logic network Algorithm Hidden Markov model
40	Metric Learning to Rank Brian McFee Department of Computer Science and Engineering, University of California, San Diego, CAUSA Gert Lanckriet Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:27 Machine learning Search algorithms Structured prediction Learning Learning to rank Support vector machine K-nearest neighbors algorithm Ranking SVM