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    NIPS
    2003
    133views Information Technology» more  NIPS 2003»
    ICA-based Clustering of Genes from Microarray Expression Data
    13 years 10 months ago
    ICA-based Clustering of Genes from Microarray Expression Data
    Download  books.nips.cc
    We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
    Su-In Lee, Serafim Batzoglou
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    SDM
    2003
    SIAM
    110views Data Mining» more  SDM 2003»
    Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data
    13 years 10 months ago
    Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data
    Download  www.cs.ioc.ee
    We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...
    Jaakko Hollmén, Jouni K. Seppänen, Hei...
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    ACL
    2000
    142views Computational Linguistics» more  ACL 2000»
    Minimally Supervised Morphological Analysis by Multimodal Alignment
    13 years 10 months ago
    Minimally Supervised Morphological Analysis by Multimodal Alignment
    Download  nlp.cs.swarthmore.edu
    This paper presents a corpus-based algorithm capable of inducing inflectional morphological analyses of both regular and highly irregular forms (such as broughtbring) from distrib...
    David Yarowsky, Richard Wicentowski
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    COLING
    1996
    160views Computational Linguistics» more  COLING 1996»
    The Automatic Extraction of Open Compounds from Text Corpora
    13 years 10 months ago
    The Automatic Extraction of Open Compounds from Text Corpora
    Download  acl.ldc.upenn.edu
    This paper describes a new method for extracting open compounds (uninterrupted sequences of words) from text corpora of languages, such as Thai, Japanese and Korea that exhibit un...
    Virach Sornlertlamvanich, Hozumi Tanaka
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    UAI
    1996
    168views Artificial Intelligence» more  UAI 1996»
    Bayesian Learning of Loglinear Models for Neural Connectivity
    13 years 10 months ago
    Bayesian Learning of Loglinear Models for Neural Connectivity
    Download  www.mpib-berlin.mpg.de
    This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
    Kathryn B. Laskey, Laura Martignon
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