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    ICMLA
    2004
    114views Machine Learning» more  ICMLA 2004»
    Planning with predictive state representations
    14 years 1 months ago
    Planning with predictive state representations
    Download  www.eecs.umich.edu
    Predictive state representation (PSR) models for controlled dynamical systems have recently been proposed as an alternative to traditional models such as partially observable Mark...
    Michael R. James, Satinder P. Singh, Michael L. Li...
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    ICMLA
    2004
    109views Machine Learning» more  ICMLA 2004»
    Variable resolution discretization in the joint space
    14 years 1 months ago
    Variable resolution discretization in the joint space
    Download  highentropy.com
    We present JoSTLe, an algorithm that performs value iteration on control problems with continuous actions, allowing this useful reinforcement learning technique to be applied to p...
    Christopher K. Monson, David Wingate, Kevin D. Sep...
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    ICMLA
    2004
    176views Machine Learning» more  ICMLA 2004»
    A new discrete binary particle swarm optimization based on learning automata
    14 years 1 months ago
    A new discrete binary particle swarm optimization based on learning automata
    Download  ceit.aut.ac.ir
    : The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
    Reza Rastegar, Mohammad Reza Meybodi, Kambiz Badie
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    ICMLA
    2004
    138views Machine Learning» more  ICMLA 2004»
    LASSO: a learning architecture for semantic web ontologies
    14 years 1 months ago
    LASSO: a learning architecture for semantic web ontologies
    Download  cse.unl.edu
    Expressing web page content in a way that computers can understand is the key to a semantic web. Generating ontological information from the web automatically using machine learni...
    Christopher N. Hammack, Stephen D. Scott
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    ICMLA
    2004
    113views Machine Learning» more  ICMLA 2004»
    Two new regularized AdaBoost algorithms
    14 years 1 months ago
    Two new regularized AdaBoost algorithms
    Download  plaza.ufl.edu
    AdaBoost rarely suffers from overfitting problems in low noise data cases. However, recent studies with highly noisy patterns clearly showed that overfitting can occur. A natural s...
    Yijun Sun, Jian Li, William W. Hager
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    ICMLA
    2004
    92views Machine Learning» more  ICMLA 2004»
    A naiive bayes learning based website reconfiguration system
    14 years 1 months ago
    A naiive bayes learning based website reconfiguration system
    Download  csc.lsu.edu
    Jia Li, Huiqing Li, Xiumei Jia
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    ICMLA
    2004
    124views Machine Learning» more  ICMLA 2004»
    Emergent representations and reasoning in adaptive agents
    14 years 1 months ago
    Emergent representations and reasoning in adaptive agents
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    Classically, cognition assumes that the underlying mechanisms of thinking are based on symbol manipulation processes. This assumption has several drawbacks, such as the issue of w...
    Joost Broekens, Doug DeGroot
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    ICMLA
    2004
    111views Machine Learning» more  ICMLA 2004»
    Outlier detection and evaluation by network flow
    14 years 1 months ago
    Outlier detection and evaluation by network flow
    Download  students.cis.uab.edu
    Detecting outliers is an important topic in data mining. Sometimes the outliers are more interesting than the rest of the data. Outlier identification has lots of applications, su...
    Ying Liu, Alan P. Sprague
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    ICMLA
    2004
    106views Machine Learning» more  ICMLA 2004»
    PolyCluster: an interactive visualization approach to construct classification rules
    14 years 1 months ago
    PolyCluster: an interactive visualization approach to construct classification rules
    Download  www.cs.ua.edu
    This paper introduces a system, called PolyCluster, which adopts state-of-the-art algorithms for data visualization and integrates human domain knowledge into the construction pro...
    Danyu Liu, Alan P. Sprague, Jeffrey G. Gray
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    ICMLA
    2004
    105views Machine Learning» more  ICMLA 2004»
    Prediction of dynamic forces on lumbar joint using a recurrent neural network model
    14 years 1 months ago
    Prediction of dynamic forces on lumbar joint using a recurrent neural network model
    Download  csc.lsu.edu
    Yanfeng Jou, Jacek M. Zurada, Waldemar Karwowski
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