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eacosta library [135 articles]

Статьи, недавно добавленные в библиотеку eacosta .
  • How causal knowledge affects classification: A generative theory of categorization.
    J Exp Psychol Learn Mem Cogn, Vol. 32, No. 4. (July 2006), pp. 659-683.
    by B Rehder, S Kim
    posted to categorization features by eacosta on 2008-04-01 15:05:10 as *** along with 2 people pylikosk willers
  • Categories and causality: The neglected direction
    Cognitive Psychology, Vol. 53, No. 1. (August 2006), pp. 27-58.
    by Michael R Waldmann, York Hagmayer
    posted to categorization by eacosta on 2008-04-01 15:02:32 as ** along with 3 people rrbarb pylikosk willers
  • Formation of category representations.
    Mem Cognit, Vol. 34, No. 1. (January 2006), pp. 17-27.
    by AJ Wills, M Noury, NJ Moberly, M Newport
    posted to categorization by eacosta on 2008-04-01 15:00:54 as *** along with 1 person willers
  • Concepts and conceptual structure.
    Am Psychol, Vol. 44, No. 12. (December 1989), pp. 1469-1481.
    by DL Medin
    posted to categorization by eacosta on 2008-04-01 14:59:43 as **** along with 1 person willers
  • Expertise and category-based induction.
    J Exp Psychol Learn Mem Cogn, Vol. 26, No. 4. (July 2000), pp. 811-828.
    by JB Proffitt, JD Coley, DL Medin
    posted to categorization expertise inductive-reasoning by eacosta on 2008-04-01 14:56:46 as **** along with 2 people and 2 groups sylvienoel willers CSCW Virtual_Reality
  • The neural basis for novel semantic categorization.
    Neuroimage, Vol. 24, No. 2. (15 January 2005), pp. 369-383.
    by P Koenig, EE Smith, G Glosser, C DeVita, P Moore, C McMillan, J Gee, M Grossman
    posted to categorization neural-correlates by eacosta on 2008-04-01 14:54:51 as ** along with 1 person willers
  • Electrophysiological correlates of categorization: P300 amplitude as index of target similarity.
    Biol Psychol, Vol. 71, No. 3. (March 2006), pp. 278-288.
    by A Azizian, AL Freitas, TD Watson, NK Squires
    posted to categorization erp-correlates by eacosta on 2008-04-01 14:53:22 as ** along with 2 people and 1 group garyfeng willers ReadingLab
  • Dissociations between categorization and similarity judgments as a result of learning feature distributions.
    Mem Cognit, Vol. 30, No. 4. (June 2002), pp. 647-656.
    by JP Thibaut, M Dupont, P Anselme
    posted to categorization by eacosta on 2008-04-01 14:51:16 as **** along with 1 person willers
  • Knowledge partitioning in categorization: Boundary conditions
    pp. 1676-1688.
    by Stephan Lewandowsky
    posted to categorization knowledge-partitioning by eacosta on 2008-04-01 14:46:49 as ***** along with 1 person yEvb0
  • Procedural learning in perceptual categorization
    Memory & cognition, Vol. 31, No. 7. (Oct 2003), pp. 1114-1125.
    by FG Ashby, SW Ell, EM Waldron
    posted to categorization by eacosta on 2008-04-01 03:35:43 as *****
  • Human Category Learning
    Annu. Rev. Psychol., Vol. 56 (2005)
    by Gregory F Ashby, Todd W Maddox
    posted to categorization by eacosta on 2008-04-01 02:08:14 as **** along with 1 person sweetdreamerit
  • A Modified Chi2 Algorithm for Discretization
    Knowledge and Data Engineering, Vol. 14, No. 3. (2002), pp. 666-670.
    by Francis EH Tay, Lixiang Shen
    posted to discretization by eacosta on 2008-03-27 01:25:20 as read along with 1 person rogerblake
  • Rough set based on modified ChiMerge algorithm and its application
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on, Vol. 2 (18-21 Aug. 2005)
    by Xiao H Gu, Di B Hou, Ze K Zhou, Dan Yu
    posted to rough-sets by eacosta on 2008-03-26 18:53:05 as ****
  • notes Less is more
    (2008)
    by Huan Liu, Hiroshi Motoda
    posted to feature-selection by eacosta on 2008-03-26 17:16:11 as read
  • notes Computational Methods of Feature Selection
    (2008)
    by Huan Liu, Hiroshi Motoda
    posted to feature-selection by eacosta on 2008-03-26 17:16:11 as ****
  • notes Imitation and social learning in robots, humans and animals : behavioural, social and communicative dimensions
    (2007)
    by Chrystopher L Nehaniv, Kerstin Dautenhahn
    posted to imitation by eacosta on 2008-03-26 16:57:12 as ****
  • notes The Wrapper Approach
    Vol. SECS 453 (1998)
    by Ron Kohavi, George H John
    posted to feature-selection by eacosta on 2008-03-19 03:52:13 as read
  • notes Feature Weighting for Lazy Learning Algorithms
    Vol. SECS 453 (1998)
    by David W Aha
    posted to feature-selection by eacosta on 2008-03-19 03:52:13 as read
  • notes Less is more
    Vol. SECS 453 (1998)
    by Huan Liu, Hiroshi Motoda
    posted to feature-selection by eacosta on 2008-03-19 03:52:13 as read
  • notes Feature extraction, construction and selection : a data mining perspective
    Vol. SECS 453 (1998)
    by Huan Liu, Hiroshi Motoda
    posted to data-mining feature-selection by eacosta on 2008-03-19 03:52:12 as **
  • notes Rough Sets: Mathematical Foundations
    (2002)
    by Lech Polkowski
    posted to rough-sets by eacosta on 2008-03-19 03:49:47 as **
  • notes Discovering knowledge in data : an introduction to data mining
    (2005)
    by Daniel T Larose
    posted to data-mining by eacosta on 2008-03-19 03:48:47 as **
  • Feature Selection Algorithms to Improve Documents’ Classification Performance
    Vol. 2663/2003 (2003)
    by Pedro AC Sousa, João P Pimentão, Bruno, Fernando M Pires
    posted to feature-selection by eacosta on 2008-03-19 03:42:44 as **
  • Case generation using rough sets with fuzzy representation
    Knowledge and Data Engineering, IEEE Transactions on, Vol. 16, No. 3. (2004), pp. 293-300.
    by SK Pal, Pabitra Mitra
    posted to case-based-reasoning feature-selection rough-sets by eacosta on 2008-03-19 03:02:25 as **
  • Rough set techiques for uncertainty management in automated story generation
    (1998), pp. 326-331.
    by T Beaubouef, R Lang
    posted to creativity rough-sets by eacosta on 2008-03-19 02:51:13 as **
  • Combining feature reduction and case selection in building CBR classifiers
    Knowledge and Data Engineering, IEEE Transactions on, Vol. 18, No. 3. (2006), pp. 415-429.
    by Yan Li, SCK Shiu, SK Pal
    posted to case-based-reasoning feature-selection by eacosta on 2008-03-19 02:36:20 as ***
  • Reducing the Memory Size of a Fuzzy Case-Based Reasoning System Applying Rough Set Techniques
    Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, Vol. 37, No. 1. (2007), pp. 138-146.
    by F Fernandez-Riverola, F Diaz, JM Corchado
    posted to case-based-reasoning feature-selection rough-sets by eacosta on 2008-03-19 02:33:49 as ****
  • Searching for Interacting Features
    (2007)
    by Z Zhao, H Liu
    posted to feature-selection by eacosta on 2008-03-19 00:38:18 as *** along with 3 people sdvillal dimatura h-chi
  • notes Immune-inspired incremental feature selection technology to data streams
    Applied Soft Computing, Vol. 8 (2008), pp. 1041-1049.
    by X Yue, HW Mo, ZX Chi
    posted to feature-selection by eacosta on 2008-03-19 00:19:07 as **
  • notes Feature subset selection and ranking for data dimensionality reduction
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, No. 1. (2007), pp. 162-166.
    by HL Wei, SA Billings
    posted to feature-selection by eacosta on 2008-03-19 00:19:06 as **
  • notes A novel feature selection approach: Combining feature wrappers and filters
    Information Sciences, Vol. 177, No. 2. (2007), pp. 449-466.
    by O Uncu, IB Turksen
    posted to feature-selection by eacosta on 2008-03-19 00:19:06 as **
  • notes Notes on the evolution of feature selection methodology
    Kybernetika, Vol. 43 (2007), pp. 713-730.
    by P Somol, J Novovicova, P Pudil
    posted to feature-selection by eacosta on 2008-03-19 00:19:06 as ****
  • notes What should be expected from feature selection in small-sample settings
    Bioinformatics, Vol. 22, No. 19. (2006), pp. 2430-2436.
    by C Sima, ER Dougherty
    posted to feature-selection by eacosta on 2008-03-19 00:19:06 as ***
  • notes Feature analysis through information granulation and fuzzy sets
    Pattern Recognition, Vol. 35, No. 4. (2002), pp. 825-834.
    by W Pedrycz, G Vukovich
    posted to feature-selection rough-sets by eacosta on 2008-03-19 00:19:06 as **
  • notes Localized feature selection for clustering
    Pattern Recognition Letters, Vol. 29 (2008), pp. 10-18.
    by YH Li, M Dong, J Hua
    posted to clustering feature-selection by eacosta on 2008-03-19 00:19:06 as ***
  • notes Joint feature re-extraction and classification using an iterative semi-supervised support vector machine algorithm
    Machine Learning, Vol. 71, No. 1. (2008), pp. 33-53.
    by Y Li, C Guan
    posted to feature-selection support-vector-machines by eacosta on 2008-03-19 00:19:06 as **
  • notes Simultaneous feature selection and clustering using mixture models
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 9. (2004), pp. 1154-1166.
    by MHC Law, MAT Figueiredo, AK Jain
    posted to clustering feature-selection by eacosta on 2008-03-19 00:19:06 as **
  • notes Learning to locate informative features for visual identification
    International Journal of Computer Vision, Vol. 77, No. 1-3. (2008), pp. 3-24.
    by A Ferencz, Learned EG Miller, J Malik
    posted to computer-vision feature-selection by eacosta on 2008-03-19 00:19:06 as **
  • notes Learning to recognize objects with little supervision
    International Journal of Computer Vision, Vol. 77, No. 1-3. (2008), pp. 219-237.
    by P Carbonetto, G Dorko, C Schmid, H Kuck, N de Freitas
    posted to computer-vision feature-selection by eacosta on 2008-03-19 00:19:06 as **
  • Learning to Recognize Objects with Little Supervision
    International Journal of Computer Vision, Vol. 77, No. 1. (22 May 2008), pp. 219-237.
    by Peter Carbonetto, Gyuri Dorkó, Cordelia Schmid, Hendrik Kück, Nando de Freitas
    posted to feature-recognition feature-selection by eacosta on 2008-03-18 23:43:47 as **** along with 1 person asterix77
  • Feature selection algorithm for mixed data with both nominal and continuous features
    Pattern Recognition Letters, Vol. 28, No. 5. (2007), pp. 563-571.
    by W Tang, KZ Mao
    posted to feature-selection by eacosta on 2008-03-18 23:36:55 as read
  • Rough set methods in feature selection and recognition
    Pattern Recognition Letters, Vol. 24, No. 6. (2003), pp. 833-849.
    by Roman W Swiniarski, Andrzej Skowron
    posted to feature-selection rough-sets by eacosta on 2008-03-18 23:29:59 as ***
  • Semantics-Preserving Dimensionality Reduction: Rough and Fuzzy-Rough-Based Approaches
    Knowledge and Data Engineering, IEEE Transactions on, Vol. 16, No. 12. (2004), pp. 1457-1471.
    by R Jensen, Shen Qiang
    posted to feature-grouping feature-selection rough-sets by eacosta on 2008-03-18 22:49:40 as ****
  • Feature space theory -- a mathematical foundation for data mining
    Knowledge-Based Systems, Vol. 14, No. 5/6. (2001), pp. 253-257.
    posted to feature-selection by eacosta on 2008-03-18 22:44:54 as ****
  • Rudiments of rough sets
    Information Sciences, Vol. 177, No. 1. (2007), pp. 3-27.
    by Z Pawlak, A Skowron
    posted to rough-sets by eacosta on 2008-03-18 22:37:54 as read
  • Ensemble feature selection with the simple Bayesian classification
    Information Fusion, Vol. 4, No. 2. (2003), pp. 87-100.
    by Alexey Tsymbal, Seppo Puuronen, David W Patterson
    posted to feature-selection by eacosta on 2008-03-18 22:33:13 as **
  • Fuzzy-Rough Sets Assisted Attribute Selection
    Fuzzy Systems, IEEE Transactions on, Vol. 15, No. 1. (2007), pp. 73-89.
    by R Jensen, Q Shen
    posted to feature-selection rough-sets by eacosta on 2008-03-18 22:26:43 as **
  • Fuzzy-rough data reduction with ant colony optimization
    Fuzzy Sets and Systems, Vol. 149, No. 1. (2005), pp. 5-20.
    by R Jensen, Q Shen
    posted to feature-selection rough-sets by eacosta on 2008-03-18 22:19:34 as **
  • A comparative study of fuzzy rough sets
    Fuzzy Sets and Systems, Vol. 126, No. 2. (2002), pp. 137-155.
    by Anna M Radzikowska, Etienne E Kerre
    posted to rough-sets by eacosta on 2008-03-18 22:07:41 as **
  • Adaptive floating search methods in feature selection
    Pattern Recognition Letters, Vol. 20, No. 11-13. (1999), pp. 1157-1163.
    by P Somol, P Pudil, J Novovicová, P Paclík
    posted to feature-selection by eacosta on 2008-03-18 20:15:58 as ** along with 2 people gkvas mmunson
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