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    KDD
    2004
    ACM
    158views Data Mining» more  KDD 2004»
    A generalized maximum entropy approach to bregman co-clustering and matrix approximation
    14 years 12 months ago
    A generalized maximum entropy approach to bregman co-clustering and matrix approximation
    Download  www.ideal.ece.utexas.edu
    Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
    Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
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    KDD
    2004
    ACM
    135views Data Mining» more  KDD 2004»
    Cross channel optimized marketing by reinforcement learning
    14 years 12 months ago
    Cross channel optimized marketing by reinforcement learning
    Download  www.research.ibm.com
    Naoki Abe, Naval K. Verma, Chidanand Apté, ...
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    KDD
    2004
    ACM
    131views Data Mining» more  KDD 2004»
    Fast nonlinear regression via eigenimages applied to galactic morphology
    14 years 12 months ago
    Fast nonlinear regression via eigenimages applied to galactic morphology
    Download  www.cs.cmu.edu
    Astronomy increasingly faces the issue of massive datasets. For instance, the Sloan Digital Sky Survey (SDSS) has so far generated tens of millions of images of distant galaxies, ...
    Brigham Anderson, Andrew W. Moore, Andrew Connolly...
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    KDD
    2004
    ACM
    146views Data Mining» more  KDD 2004»
    Clustering Labeled Data and Cross-Validation for Classification with Few Positives in Yeast
    14 years 12 months ago
    Clustering Labeled Data and Cross-Validation for Classification with Few Positives in Yeast
    Download  www.cs.rpi.edu
    Miles Trochesset, Anthony J. Bonner
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    KDD
    2004
    ACM
    314views Data Mining» more  KDD 2004»
    Assessment of discretization techniques for relevant pattern discovery from gene expression data
    14 years 12 months ago
    Assessment of discretization techniques for relevant pattern discovery from gene expression data
    Download  www.cs.rpi.edu
    In the domain of gene expression data analysis, various researchers have recently emphasized the promising application of pattern discovery techniques like association rule mining...
    Ruggero G. Pensa, Claire Leschi, Jéré...
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    KDD
    2004
    ACM
    145views Data Mining» more  KDD 2004»
    Discovering Spatial Relationships Between Approximately Equivalent Patterns in Contact Maps
    14 years 12 months ago
    Discovering Spatial Relationships Between Approximately Equivalent Patterns in Contact Maps
    Download  www.cs.rpi.edu
    Keith Marsolo, Hui Yang, Srinivasan Parthasarathy,...
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    KDD
    2004
    ACM
    237views Data Mining» more  KDD 2004»
    Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
    14 years 12 months ago
    Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
    Download  www.eh3.uc.edu
    Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
    Mario Medvedovic, Junhai Guo
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    KDD
    2004
    ACM
    141views Data Mining» more  KDD 2004»
    A Maximum Entropy Approach to Biomedical Named Entity Recognition
    14 years 12 months ago
    A Maximum Entropy Approach to Biomedical Named Entity Recognition
    Download  www.cs.rpi.edu
    Machine learning approaches are frequently used to solve name entity (NE) recognition (NER). In this paper we propose a hybrid method that uses maximum entropy (ME) as the underly...
    Yi-Feng Lin, Tzong-Han Tsai, Wen-Chi Chou, Kuen-Pi...
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    KDD
    2004
    ACM
    115views Data Mining» more  KDD 2004»
    A New Approach to Protein Structure Mining and Alignment
    14 years 12 months ago
    A New Approach to Protein Structure Mining and Alignment
    Download  www.cs.rpi.edu
    Hongyuan Li, Keith Marsolo, Srinivasan Parthasarat...
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    KDD
    2004
    ACM
    163views Data Mining» more  KDD 2004»
    A Novel Approach for Prediction of Protein Subcellular Localization from Sequence Using Fourier Analysis and Support Vector Mach
    14 years 12 months ago
    A Novel Approach for Prediction of Protein Subcellular Localization from Sequence Using Fourier Analysis and Support Vector Mach
    Download  array.bioengr.uic.edu
    Zhengdeng Lei, Yang Dai
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