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N-vector model
Results: 65

#	Item
41	Compositional Morphology for Word Representations and Language Modelling Jan A. Botha Phil Blunsom Department of Computer Science, University of Oxford, Oxford, OX1 3QD, UK Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-11-16 23:37:34 Word-sense disambiguation N-gram Statistical machine translation Natural language processing Perplexity ALGOL 68 Speech recognition Morphology Vector space model Computational linguistics Linguistics Science
42	Integrated Instance- and Class-based Generative Modeling for Text Classification Antti Puurula Sung-Hyon Myaeng Add to Reading List Source URL: www.cms.waikato.ac.nz Language: English - Date: 2013-11-30 23:44:11 Probability and statistics Multiclass classification Pattern recognition Linear classifier Naive Bayes classifier Support vector machine Generative model Multi-label classification N-gram Statistics Machine learning Statistical classification
43	LNAI[removed]Fully Utilize Feedbacks: Language Model Based Relevance Feedback in Information Retrieval Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-09-16 17:44:17 Relevance feedback Relevance Vector space model Precision and recall Language model Document retrieval N-gram Query expansion Expectation–maximization algorithm Information science Information retrieval Science
44	JHU/APL at TREC 2001: Experiments in Filtering and in Arabic, Video, and Web Retrieval James Mayfield, Paul McNamee, Cash Costello, Christine Piatko, and Amit Banerjee Research and Technology Development Center Johns Hop Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2002-02-12 09:46:05 Text Retrieval Conference Relevance feedback Document retrieval Vector space model Precision and recall Query expansion Relevance N-gram Language model Information science Information retrieval Science
45	JHU/APL at TREC 2002: Experiments in Filtering and Arabic Retrieval Paul McNamee, Christine Piatko, and James Mayfield Research and Technology Development Center Johns Hopkins University Applied Physics Laboratory 11100 Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2003-02-13 12:00:05 Natural language processing Text Retrieval Conference Relevance feedback Support vector machine N-gram Relevance Language model Document classification Kernel methods Information science Information retrieval Science
46	R Foundations and Trends in Information Retrieval Vol. 2, No[removed]–213 c 2008 C. Zhai Add to Reading List Source URL: sifaka.cs.uiuc.edu Language: English - Date: 2009-03-01 21:57:03 Language model N-gram Tf*idf Vector space model Relevance Maximum likelihood Query likelihood model Probabilistic relevance model Information science Information retrieval Science
47	Inf Retrieval[removed]:747–768 DOI[removed]s10791[removed]Document vector representations for feature extraction in multi-stage document ranking Nima Asadi • Jimmy Lin Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2013-11-08 20:23:40 Search engine indexing Inverted index Hash function Learning to rank Tf*idf Language model Euclidean vector N-gram Index term Information science Information retrieval Science
48	TUGboat, Volume[removed]), No. 4 Experiments in w n i c o l o u r - A S L Sub-style ~ for Colour Printers* Add to Reading List Source URL: tug.org Language: English - Date: 2011-10-16 20:54:10 Graphic design Vector graphics PostScript Computer file formats Donald Knuth Device independent file format TeX Dvips RGB color model Computing Digital typography Printing
49	Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data∗ Ashok N. Srivastava, Ph.D.† September 15, 2003 This paper was submitted to the 2004 SIAM Data Mining Conference on September 15, 2003. Add to Reading List Source URL: www.riacs.edu Language: English - Date: 2006-05-22 00:23:38 Cluster analysis Fisher kernel Information retrieval Gaussian function Mixture model Kernel Dirac delta function Expectation–maximization algorithm Support vector machine Statistics Non-parametric statistics Statistical classification
50	Large-scale Computation of Distributional Similarities for Queries Enrique Alfonseca Google Research Zurich, Switzerland [removed] Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2010-06-14 21:15:38 Vector space model Query expansion Semantic similarity Google Search N-gram Cosine similarity Search engine indexing Web query classification Information science Information retrieval Science