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Abstract machine
Results: 823

#	Item
521	Dynamic Topic Adaptation for Phrase-based MT Eva Hasler1 , Phil Blunsom2 , Philipp Koehn1 , Barry Haddow1 1 School of Informatics, University of Edinburgh 2 Dept. of Computer Science, University of Oxford Abstract Add to Reading List Source URL: aclweb.org Language: English - Date: 2014-04-18 06:11:01 Linguistics Computational linguistics Markov models Machine translation N-gram Statistical machine translation Latent Dirichlet allocation Language model Mixture model Statistical natural language processing Science Natural language processing
522	Creating Features from a Learned Grammar in a Simulated Student Nan Li and Abraham Schreiber and William W. Cohen and Kenneth R. Koedinger1 Abstract. Understanding and developing intelligent agents that simulate human le Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-10-01 10:08:43 Science Programming paradigms Compiler construction Machine learning Predicate logic Predicate Parse tree Parsing Logic programming Logic Formal languages Linguistics
523	A Graph-Search Framework for GeneId Ranking (Extended Abstract) William W. Cohen Machine Learning Department Carnegie Mellon University Pittsburgh PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-05-05 13:17:14 Bioinformatics Natural language processing Graph theory BioCreative Information science Word-sense disambiguation Named-entity recognition Graph Computational linguistics Science Linguistics
524	Learning What to Value Daniel Dewey Machine Intelligence Research Institute Abstract. We examine ultraintelligent reinforcement learning agents. Reinforcement learning can only be used in the real world to define agents Add to Reading List Source URL: www.danieldewey.net Language: English - Date: 2013-06-21 09:17:24 Knowledge Decision theory Utility Artificial intelligence Technology Intelligent agent Reinforcement learning Science Cybernetics
525	Stacked Graphical Models for Efficient Inference in Markov Random Fields Zhenzhen Kou Machine Learning Department Carnegie Mellon University Pittsburgh, PA USA[removed]Abstract Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-01-30 15:42:42 Applied mathematics Graphical models Bayesian statistics Natural language processing Science Gibbs sampling Conditional random field Machine learning Markov logic network Theoretical computer science Artificial intelligence Statistics
526	Instructions for ICML-2005 Authors Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:53 Abstract algebra Perceptron Projection Support vector machine Pegasos Vector space Spectral theory of ordinary differential equations Algebra Mathematics Linear algebra
527	Ranking Users for Intelligent Message Addressing Vitor R. Carvalho1 and William W. Cohen1,2 Language Technologies Institute1 and Machine Learning Department2 Carnegie Mellon University, Pittsburgh, PA[removed]USA Abstract Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-01-30 09:44:10 Internet Message transfer agent Email Computer-mediated communication Computing
528	Unsupervised Two-Class & Multi-class Support Vector Machines for Abnormal Traffic Characterization [Extended Abstract] † † Add to Reading List Source URL: pam2009.kaist.ac.kr Language: English - Date: 2009-03-31 10:04:15 Statistical classification Data mining Support vector machine Anomaly detection Document classification Unsupervised learning Kernel methods Supervised learning Margin classifier Statistics Machine learning Artificial intelligence
529	Unsupervised Two-Class & Multi-class Support Vector Machines for Abnormal Traffic Characterization [Extended Abstract] † † Add to Reading List Source URL: eprints.lancs.ac.uk Language: English - Date: 2011-01-27 19:30:30 Statistical classification Data mining Support vector machine Anomaly detection Document classification Unsupervised learning Kernel methods Supervised learning Margin classifier Statistics Machine learning Artificial intelligence
530	ABSTRACT: Tidal phenomena plays a very important role in hydrography and oceanography. In understanding the tidal behaviour, the issue of tidal analysis in determining tidal constituents is important in order to define Add to Reading List Source URL: eprints.utm.my Language: English - Date: 2012-05-23 20:32:15 Geodesy Earth Physical oceanography Tide Water Planetary science Hydrography Tide-predicting machine Arthur Thomas Doodson Tides Navigation Geophysics

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