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    PSB
    2008
    73views Applied Computing» more  PSB 2008»
    Integration of Microarray and Textual Data Improves the Prognosis Prediction of Breast, Lung, and Ovarian Cancer Patients
    13 years 9 months ago
    Integration of Microarray and Textual Data Improves the Prognosis Prediction of Breast, Lung, and Ovarian Cancer Patients
    Download  psb.stanford.edu
    bstracts in the structure prior of a Bayesian network could improve the prediction of the prognosis in cancer. Our results show that prediction of the outcome with the text prior w...
    O. Gaevert, Steven Van Vooren, Bart De Moor
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    AAAI
    2006
    129views Intelligent Agents» more  AAAI 2006»
    A Characterization of Interventional Distributions in Semi-Markovian Causal Models
    13 years 9 months ago
    A Characterization of Interventional Distributions in Semi-Markovian Causal Models
    Download  ftp.cs.ucla.edu
    We offer a complete characterization of the set of distributions that could be induced by local interventions on variables governed by a causal Bayesian network of unknown structu...
    Jin Tian, Changsung Kang, Judea Pearl
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    FLAIRS
    2000
    103views Artificial Intelligence» more  FLAIRS 2000»
    Distributed Multi-Agent MSBN: Implementing Verification
    13 years 9 months ago
    Distributed Multi-Agent MSBN: Implementing Verification
    Download  www.aaai.org
    Multiply Sectioned Bayesian Networks (MSBN)provide a coherence framework for multi-agent distributed interpretation tasks. Duringthe construction or dynamicformation of an MSBN,au...
    Hongyu Geng, Yang Xiang
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    ICASSP
    2011
    IEEE
    124views Signal Processing» more  ICASSP 2011»
    Hidden Discrete Tempo Model: A tempo-aware timing model for audio-to-score alignment
    12 years 11 months ago
    Hidden Discrete Tempo Model: A tempo-aware timing model for audio-to-score alignment
    Download  mirlab.org
    In this paper, we present the Hidden Discrete Tempo Model, an effective Dynamic Bayesian Network for audio to score matching. Its main feature is an explicit modeling of tempo, wh...
    Cyril Joder, Slim Essid, Gaël Richard
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    SDM
    2009
    SIAM
    208views Data Mining» more  SDM 2009»
    A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks.
    14 years 4 months ago
    A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks.
    Download  www.nec-labs.com
    Although a large body of work are devoted to finding communities in static social networks, only a few studies examined the dynamics of communities in evolving social networks. I...
    Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, ...
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