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Ключевое слово feature-selection [208 articles]

Recent papers classified by the tag feature-selection.
  • An Introduction to Variable and Feature Selection
    posted to feature-selection by yaroslavvb on 2005-11-21 03:02:23 as ** along with 2 people thorgal eacosta
  • An introduction to variable and feature selection
    J. Mach. Learn. Res., Vol. 3 (2003), pp. 1157-1182.
    by Isabelle Guyon, Andr&\#233; Elisseeff
  • notes Building algorithm profiles for prior model selection in knowledge discovery systems
    Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on, Vol. 3 (1999), pp. 956-961 vol.3.
    posted to feature-selection by yaroslavvb on 2005-11-21 03:33:23 as **
  • What is a Question?
    (17 March 2004)
    by Kevin H Knuth
  • notes Maximally Informative Statistics
    (15 Oct 2000)
    by David R Wolf, Edward I George
    posted to bayesian feature-selection by yaroslavvb on 2005-11-29 02:41:57 as **
  • Improving language model size reduction using better pruning criteria
    (2001), pp. 176-182.
    by Jianfeng Gao, Min Zhang
    posted to feature-selection language-modeling by whym on 2008-02-23 10:56:41 as **
  • A review of feature selection techniques in bioinformatics.
    Bioinformatics (24 August 2007)
    by Yvan Saeys, Iñaki Inza, Pedro Larrañaga
  • Document Transformation for Multi-label Feature Selection in Text Categorization
    Data Mining, 2007. ICDM 2007. Seventh IEEE International Conference on (2007), pp. 451-456.
    by Weizhu Chen, Jun Yan, Benyu Zhang, Zheng Chen, Qiang Yang
  • A comparative study on feature selection in text categorization
    (1997), pp. 412-420.
    by Yiming Yang, Jan O Pedersen
    edited by Douglas H Fisher
  • Wrappers for Feature Subset Selection
    Artificial Intelligence, Vol. 97, No. 1-2. (1997), pp. 273-324.
    by Ron Kohavi, George H John
  • Pattern Classification (2nd Edition)
    (21 November 2000)
    by Richard O Duda, Peter E Hart, David G Stork
  • Input feature selection by mutual information based on Parzen window
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 24, No. 12. (2002), pp. 1667-1671.
    by N Kwak, Chong-Ho Choi
    posted to feature-selection mutual-information by tgyork on 2008-06-03 19:07:49 as ** along with 1 person h-chi
  • Extraction and analysis of forensic document examiner features used for writer identification
    Pattern Recognition, Vol. 40, No. 3. (March 2007), pp. 1004-1013.
    by Vladimir Pervouchine, Graham Leedham
  • Feature Selection for Knowledge Discovery and Data Mining
    (1998)
    by Huan Liu, Hiroshi Motoda
    posted to feature-selection by tgyork on 2008-06-11 15:54:40 as read
  • Extraction and Analysis of Document Examiner Features from Vector Skeletons of Grapheme 'th'
    Document Analysis Systems VII (2006), pp. 196-207.
    by Vladimir Pervouchine, Graham Leedham
  • Feature selection for classification
    Intelligent Data Analysis, Vol. 1, No. 1-4. (1997), pp. 131-156.
    by M Dash, H Liu
    posted to feature-selection by tgyork on 2008-06-03 20:22:41 as ** along with 1 person h-chi
  • Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy.
    IEEE Trans Pattern Anal Mach Intell, Vol. 27, No. 8. (August 2005), pp. 1226-1238.
    by H Peng, F Long, C Ding
    posted to feature-selection mutual-information by tgyork on 2008-06-02 17:54:57 as ** along with 1 person h-chi
  • Automatic feature selection with applications to script identification of degraded documents
    Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on (2003), pp. 750-754.
    by V Ablavsky, MR Stevens
    posted to character-based feature-selection icdar03 image-processing scripts by tgyork on 2007-12-21 15:49:26 as read
  • Anytime Algorithm for Feature Selection
    Rough Sets and Current Trends in Computing (2001), pp. 532-539.
    by Mark Last, Abraham Kandel, Oded Maimon, Eugene Eberbach
    posted to learning feature-selection anytime by sylvain_chevallier on 2008-09-28 17:59:19 as read
  • Gene Selection for Cancer Classification using Support Vector Machines
    Mach. Learn., Vol. 46, No. 1-3. (2002), pp. 389-422.
    by Isabelle Guyon, Jason Weston, Stephen Barnhill, Vladimir Vapnik
  • Dimensionality reduction via sparse support vector machines
    Journal of Machine Learning Research, Vol. 3 (2003), pp. 1229-1243.
    by Jinbo Bi, Kristin Bennett, Mark Embrechts, Curt Breneman, Minghu Song
  • Random subspace method for multivariate feature selection
    Pattern Recognition Letters, Vol. 27, No. 10. (15 July 2006), pp. 1067-1076.
    by Carmen Lai, Marcel J Reinders, Lodewyk Wessels
  • Selection of relevant features and examples in machine learning
    Artificial Intelligence, Vol. 97, No. 1. (December 1997), pp. 245-271.
    by AL Blum, P Langley
  • The random subspace method for constructing decision forests
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 20, No. 8. (1998), pp. 832-844.
    by Tin K Ho
  • Bagging neural network sensitivity analysis for feature reduction for in-silico drug design
    International Joint Conference on Neural Networks (IJCNN), Vol. 4 (2001), pp. 2478-2482 vol.4.
  • Feature Subset Selection and Order Identification for Unsupervised Learning
    (2000), pp. 247-254.
    by Jennifer G Dy, Carla E Brodley
    posted to dimension-reduction feature-selection by sdvillal on 2006-09-26 16:23:46 as **
  • Feature Selection for Unsupervised Learning
    J. Mach. Learn. Res., Vol. 5 (2004), pp. 845-889.
    by Jennifer G Dy, Carla E Brodley
  • Feature selection: evaluation, application, and small sample performance
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 19, No. 2. (1997), pp. 153-158.
    by A Jain, D Zongker
  • Feature selection for face recognition based on data partitioning
    Pattern Recognition, 2002. Proceedings. 16th International Conference on, Vol. 1 (2002), pp. 680-683 vol.1.
    by S Singh, M Singh, M Markou
  • Speculative Markov Blanket Discovery for Optimal Feature Selection
    (2005), pp. 809-812.
    by Sandeep Yaramakala, Dimitris Margaritis
    posted to dimension-reduction feature-selection by sdvillal on 2006-10-13 10:36:38 as **
  • Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)
    (29 October 2007)
  • An Extensive Empirical Study of Feature Selection Metrics for Text Classification
    Journal of Machine Learning Research, Vol. 3 (March 2003), pp. 1289-1305.
    by George Forman
  • Feature Selection for Ensembles
    (1999), pp. 379-384.
    by David Opitz
  • An iterative pruning algorithm for feedforward neural networks
    Neural Networks, IEEE Transactions on, Vol. 8, No. 3. (1997), pp. 519-531.
    posted to dimension-reduction feature-selection by sdvillal on 2006-10-11 11:54:20 as **
  • An introduction to variable and feature selection
    J. Mach. Learn. Res., Vol. 3 (2003), pp. 1157-1182.
    by Isabelle Guyon, Andre Elisseeff
  • Eliminating redundancy and irrelevance using a new MLP-based feature selection method
    Pattern Recognition, Vol. 39, No. 2. (February 2006), pp. 313-315.
    by E Gasca, JS Sanchez, R Alonso
    posted to dimension-reduction feature-selection neural-networks by sdvillal on 2006-10-14 19:22:29 as **
  • Kernel Feature Selection with Side Data using a Spectral Approach
    (May 2004), pp. 39-53.
    by Amnon Shashua, Lior Wolf
    posted to dimension-reduction feature-selection spectral by sdvillal on 2006-09-24 17:21:49 as **
  • Focused Inference
    (2005)
    by Romer E Rosales, Tommi S Jaakkola
    posted to dimension-reduction feature-selection statistics by sdvillal on 2007-03-24 16:23:25 as **
  • Toward Optimal Feature Selection
    (1996), pp. 284-292.
    by Daphne Koller, Mehran Sahami
  • High-performing feature selection for text classification
    (2002), pp. 659-661.
    by Monica Rogati, Yiming Yang
    posted to dimension-reduction feature-selection text-classification by sdvillal on 2006-10-04 13:53:20 as read
  • Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection
    (2001), pp. 74-81.
    by Sanmay Das
    posted to dimension-reduction feature-selection by sdvillal on 2006-10-04 13:09:33 as **
  • Unsupervised feature selection using feature similarity
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 24, No. 3. (2002), pp. 301-312.
    by P Mitra, CA Murthy, SK Pal
  • Distance metric learning with kernels
    (2003)
    by I Tsang, J Kwok
  • Efficient extraction of mapping rules of atoms from enzymatic reaction data.
    J Comput Biol, Vol. 11, No. 2-3. (2004), pp. 449-462.
    by T Akutsu
    posted to feature-selection graphs by sdvillal on 2007-02-14 14:45:46 as ** along with 1 person BragilMassoud
  • Simultaneous feature selection and clustering using mixture models
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 26, No. 9. (2004), pp. 1154-1166.
    by MHC Law, MAT Figueiredo, AK Jain
  • Toward Integrating Feature Selection Algorithms for Classification and Clustering
    IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 4. (April 2005), pp. 491-502.
    by Huan Liu, Lei Yu
  • SVM Feature Selection for Classification of SPECT Images of Alzheimer's Disease Using Spatial Information
    (2005), pp. 410-417.
    by Jonathan Stoeckel, Glenn Fung
  • Semisupervised learning using feature selection based on maximum density subgraphs
    Systems and Computers in Japan, Vol. 38, No. 9. (2007), pp. 32-43.
    by Yoshiyuki Nakatani, Kuangyi Zhu, Kuniaki Uehara
  • Filter versus wrapper gene selection approaches in DNA microarray domains.
    Artif Intell Med, Vol. 31, No. 2. (June 2004), pp. 91-103.
  • Feature selection for high-dimensional genomic microarray data
    (2001), pp. 601-608.
    by Eric P Xing, Michael I Jordan, Richard M Karp
    posted to bioinformatics dimension-reduction feature-selection by sdvillal on 2006-10-15 18:50:38 as **
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