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Structured prediction
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#	Item
21	UNIVERSIDADE TÉCNICA DE LISBOA INSTITUTO SUPERIOR TÉCNICO CARNEGIE MELLON UNIVERSITY The Geometry of Constrained Structured Prediction: Add to Reading List Source URL: www.cs.cmu.edu - Date: 2012-07-03 09:45:39
22	Methods for Learning Structured Prediction in Semantic Segmentation of Natural Images Add to Reading List Source URL: amueller.github.io - Date: 2016-08-04 15:59:56
23	Online MKL for Structured Prediction ∗ Andr´e F. T. Martins∗† Noah A. Smith∗ Add to Reading List Source URL: users.isr.ist.utl.pt - Date: 2010-11-08 07:44:44
24	Structured Sparsity in Structured Prediction Andr´e F. T. Martins∗† Noah A. Smith∗ Pedro M. Q. Aguiar‡ M´ario A. T. Figueiredo† ∗ School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213 Add to Reading List Source URL: users.isr.ist.utl.pt - Date: 2011-06-21 07:04:54
25	Hinge-Loss Markov Random Fields and Probabilistic Soft Logic arXiv:1505.04406v2 [cs.LG] 9 DecStephen H. Bach∗ Matthias Broecheler† Bert Huang‡ Lise Getoor§ Add to Reading List Source URL: stephenbach.net Language: English - Date: 2015-12-16 16:04:19 Logic Graphical models Mathematics Mathematical logic Structured prediction Markov random field Probability theory Non-classical logic Logic in computer science Bayesian network Random field Fuzzy logic
26	Journal of Machine Learning ResearchSubmitted 8/13; PublishedPyStruct - Learning Structured Prediction in Python Andreas C. M¨ Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Machine learning Learning Artificial intelligence Structured prediction Graphical models Statistical classification Conditional random field Support vector machine Multi-label classification Gradient descent Convex optimization Mathematical optimization
27	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: stephenbach.net Language: English - Date: 2013-11-15 12:01:19 Machine learning Statistics Learning Regression analysis Structured prediction Support vector machines Statistical classification Ordinal regression Loss function Mathematical optimization Convex optimization Loss functions for classification
28	Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction Stephen H. Bach Bert Huang Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-11-10 21:50:33 Machine learning Graphical models Probability Statistics Markov models Probability theory Markov random field Structured prediction Bayesian network Random field Support vector machine Markov chain
29	ABSTRACT Title of dissertation: HINGE-LOSS MARKOV RANDOM FIELDS AND PROBABILISTIC SOFT LOGIC: Add to Reading List Source URL: stephenbach.net Language: English - Date: 2015-10-08 14:59:19 Statistics Machine learning Probability Statistical models Graphical models Bayesian statistics Markov networks Statistical relational learning Probabilistic soft logic Markov random field Structured prediction Expectationmaximization algorithm