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    NIPS
    2008
    161views Information Technology» more  NIPS 2008»
    Stochastic Relational Models for Large-scale Dyadic Data using MCMC
    13 years 10 months ago
    Stochastic Relational Models for Large-scale Dyadic Data using MCMC
    Download  www.dbs.informatik.uni-muenchen.de
    Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
    Shenghuo Zhu, Kai Yu, Yihong Gong
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    SDM
    2008
    SIAM
    256views Data Mining» more  SDM 2008»
    Graph Mining with Variational Dirichlet Process Mixture Models
    13 years 10 months ago
    Graph Mining with Variational Dirichlet Process Mixture Models
    Download  sato-www.cs.titech.ac.jp
    Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
    Koji Tsuda, Kenichi Kurihara
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    APBC
    2004
    132views Bioinformatics» more  APBC 2004»
    Identifying Character Non-Independence in Phylogenetic Data Using Data Mining Techniques
    13 years 10 months ago
    Identifying Character Non-Independence in Phylogenetic Data Using Data Mining Techniques
    Download  crpit.com
    Undiscovered relationships in a data set may confound analyses, particularly those that assume data independence. Such problems occur when characters used for phylogenetic analyse...
    Anne M. Maglia, Jennifer L. Leopold, Venkat Ram Gh...
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    METMBS
    2003
    255views Mathematics» more  METMBS 2003»
    Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery
    13 years 10 months ago
    Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery
    Download  www.cs.mtu.edu
    Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
    Constantin F. Aliferis, Ioannis Tsamardinos, Alexa...
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    NIPS
    2003
    207views Information Technology» more  NIPS 2003»
    Extending Q-Learning to General Adaptive Multi-Agent Systems
    13 years 10 months ago
    Extending Q-Learning to General Adaptive Multi-Agent Systems
    Download  books.nips.cc
    Recent multi-agent extensions of Q-Learning require knowledge of other agents’ payoffs and Q-functions, and assume game-theoretic play at all times by all other agents. This pap...
    Gerald Tesauro
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