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    CORR
    2006
    Springer
    143views Education» more  CORR 2006»
    A Knowledge-Based Approach for Selecting Information Sources
    13 years 7 months ago
    A Knowledge-Based Approach for Selecting Information Sources
    Download  www.kr.tuwien.ac.at
    Through the Internet and the World-Wide Web, a vast number of information sources has become available, which offer information on various subjects by different providers, often i...
    Thomas Eiter, Michael Fink, Hans Tompits
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    JIB
    2006
    220views more  JIB 2006»
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    13 years 7 months ago
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    Download  journal.imbio.de
    Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
    Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
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    PR
    2006
    164views more  PR 2006»
    Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
    13 years 7 months ago
    Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
    Download  repository.ust.hk
    Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
    Hong Chang, Dit-Yan Yeung
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    RCIS
    2010
    184views Information Technology» more  RCIS 2010»
    A Tree-based Approach for Efficiently Mining Approximate Frequent Itemsets
    13 years 6 months ago
    A Tree-based Approach for Efficiently Mining Approximate Frequent Itemsets
    Download  www.csie.ntnu.edu.tw
    —The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
    Jia-Ling Koh, Yi-Lang Tu
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    BMCBI
    2011
    273views Artificial Intelligence» more  BMCBI 2011»
    Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
    12 years 11 months ago
    Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
    Download  www.biomedcentral.com
    Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
    Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
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