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    IJCAI
    2007
    202views Artificial Intelligence» more  IJCAI 2007»
    Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination
    13 years 11 months ago
    Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination
    Download  www.cs.utexas.edu
    A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. It is commonly asserted that in order to ...
    Mohan Sridharan, Peter Stone
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    LREC
    2008
    139views Education» more  LREC 2008»
    Identification of Comparable Argument-Head Relations in Parallel Corpora
    13 years 11 months ago
    Identification of Comparable Argument-Head Relations in Parallel Corpora
    Download  www.ling.uni-potsdam.de
    We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (langua...
    Kathrin Spreyer, Jonas Kuhn, Bettina Schrader
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    PEWASUN
    2008
    ACM
    155views Computer Networks» more  PEWASUN 2008»
    Experimentation and performance evaluation of rate adaptation algorithms in wireless mesh networks
    13 years 11 months ago
    Experimentation and performance evaluation of rate adaptation algorithms in wireless mesh networks
    Download  www.eu-mesh.eu
    In this paper we present an experimental study conducted in 802.11based mesh networks of three existing rate adaptation algorithms. The aim of this study is twofold. On the one ha...
    Emilio Ancillotti, Raffaele Bruno, Marco Conti
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    AAAI
    2006
    199views Intelligent Agents» more  AAAI 2006»
    Decision Making in Uncertain Real-World Domains Using DT-Golog
    13 years 11 months ago
    Decision Making in Uncertain Real-World Domains Using DT-Golog
    Download  www.aaai.org
    DTGolog, a decision-theoretic agent programming language based on the situation calculus, was proposed to ease some of the computational difficulties associated with Markov Decisi...
    Mikhail Soutchanski, Huy Pham, John Mylopoulos
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    APBC
    2004
    132views Bioinformatics» more  APBC 2004»
    A Novel Feature Selection Method to Improve Classification of Gene Expression Data
    13 years 11 months ago
    A Novel Feature Selection Method to Improve Classification of Gene Expression Data
    Download  crpit.com
    This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
    Liang Goh, Qun Song, Nikola K. Kasabov
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