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    WOA
    2000
    90views Intelligent Agents» more  WOA 2000»
    OO Reactive Agents for RDM-Based Simulations
    13 years 9 months ago
    OO Reactive Agents for RDM-Based Simulations
    Download  lia.deis.unibo.it
    The computer simulation of complex phenomena is a challenging issue for studying their properties. Several models and techniques have been developed in order to provide useful con...
    Stefania Bandini, Flavio De Paoli, Sara Manzoni, C...
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    BMCBI
    2008
    173views more  BMCBI 2008»
    Improved machine learning method for analysis of gas phase chemistry of peptides
    13 years 7 months ago
    Improved machine learning method for analysis of gas phase chemistry of peptides
    Download  www.biomedcentral.com
    Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
    Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
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    BMCBI
    2008
    134views more  BMCBI 2008»
    Prediction of protein-protein binding site by using core interface residue and support vector machine
    13 years 7 months ago
    Prediction of protein-protein binding site by using core interface residue and support vector machine
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    Background: The prediction of protein-protein binding site can provide structural annotation to the protein interaction data from proteomics studies. This is very important for th...
    Nan Li, Zhonghua Sun, Fan Jiang
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    CACM
    2011
    84views more  CACM 2011»
    Using simple abstraction to reinvent computing for parallelism
    13 years 2 months ago
    Using simple abstraction to reinvent computing for parallelism
    Download  www.cs.utexas.edu
    ple abstraction encapsulating the desired interface between programmers and system builders. Using Simple ion to Reinvent Computing for Parallelism doi:10.1145/1866739.1866757 abst...
    Uzi Vishkin
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    ICML
    2004
    IEEE
    161views Machine Learning» more  ICML 2004»
    Using relative novelty to identify useful temporal abstractions in reinforcement learning
    14 years 8 months ago
    Using relative novelty to identify useful temporal abstractions in reinforcement learning
    Download  www.cs.umass.edu
    lative Novelty to Identify Useful Temporal Abstractions in Reinforcement Learning ?Ozg?ur S?im?sek ozgur@cs.umass.edu Andrew G. Barto barto@cs.umass.edu Department of Computer Scie...
    Özgür Simsek, Andrew G. Barto
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