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21	STRUCTURED DISCRIMINATIVE MODELS USING DEEP NEURAL-NETWORK FEATURES R. C. van Dalen, J. Yang, H. Wang, A. Ragni, C. Zhang, M. J. F. Gales Department of Engineering, University of Cambridge, United Kingdom In this paper, Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2016-03-11 05:30:19 Markov models Machine learning Artificial intelligence Learning Computational linguistics Speech recognition software Computer accessibility Speech recognition Hidden Markov model Conditional random field Language model Image segmentation
22	Collective Activity Detection using Hinge-loss Markov Random Fields Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, Larry Davis University of Maryland College Park, MD 20742 {blondon,sameh,bach,bert,g Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2013-06-14 19:26:52 Artificial intelligence Probability Statistics Bayesian statistics Markov networks Graphical models Markov random field Probability theory Image segmentation Probabilistic soft logic Activity recognition Support vector machine
23	Andreas Christian Müller Curriculum Vitae Address: 156 East 2nd Street, New York, NY Phone: +Email: Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Machine learning Artificial intelligence Cognitive science Cybernetics Artificial neural networks Free statistical software Deep learning Computational neuroscience Conditional random field Scikit-learn Boltzmann machine
24	Rounding Guarantees for Message-Passing MAP Inference with Logical Dependencies Stephen H. Bach Computer Science Dept. University of Maryland Add to Reading List Source URL: stephenbach.net Language: English - Date: 2014-12-17 17:02:10 Graphical models Mathematical analysis Mathematics Probability Mathematical optimization Operations research Linear programming Probability theory Markov random field Linear programming relaxation Relaxation Bayesian network
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	Surveillance Event Detection Mert Dikmen, Huazhong Ning, Dennis J. Lin, Liangliang Cao, Vuong Le, Shen-Fu Tsai, Kai-Hsiang Lin, Zhen Li, Jianchao Yang, Thomas S. Huang Department of Electrical and Computer Engineering Un Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2010-07-25 04:16:41 Artificial intelligence Computer vision Image processing Feature detection Statistical theory Conference on Computer Vision and Pattern Recognition Conditional random field Optical flow Edge detection Thomas Huang Activity recognition Loss function
27	Kingston Technology How To Benefit Most From DDR4 Pasi Siukonen SR FIELD APPLICATION ENGINEER Add to Reading List Source URL: www.whd.global Language: English - Date: 2016-03-30 08:12:05 Computer memory Computer hardware SDRAM DDR3 SDRAM DIMM DDR4 SDRAM DDR SDRAM Registered memory Xeon DDR2 SDRAM Kingston Technology Dynamic random-access memory
28	Spectral graph theory and its applications Daniel A. Spielman Spectral graph theory—the study of the eigenvectors and eigenvalues of matrices associated with graphs—is a large field with many beautiful results. Most Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2005-06-30 12:02:51 Graph theory Mathematics Algebra Spectral graph theory Algebraic graph theory Graph partition Expander graph Eigenvalues and eigenvectors Regular graph Random graph Planar graph Topological graph theory
29	Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition Timothy Baldwin University of Melbourne Marie Catherine de Marneffe Add to Reading List Source URL: noisy-text.github.io Language: English - Date: 2016-08-14 21:11:09 Computational linguistics Natural language processing Linguistics Software Language Named-entity recognition Entity linking Word-sense disambiguation Normalization Language identification Machine translation Conditional random field
30	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

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