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    » Causation and Causal Conditionals
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    ESANN
    2007
    152views Neural Networks» more  ESANN 2007»
    Causality analysis of LFPs in micro-electrode arrays based on mutual information
    13 years 9 months ago
    Causality analysis of LFPs in micro-electrode arrays based on mutual information
    Download  www.dice.ucl.ac.be
    Since perceptual and motor processes in the brain are the result of interactions between neurons, layers and areas, a lot of attention has been directed towards the development of...
    Nikolay V. Manyakov, Marc M. Van Hulle
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    AIPS
    2009
    112views Artificial Intelligence» more  AIPS 2009»
    Inference and Decomposition in Planning Using Causal Consistent Chains
    13 years 8 months ago
    Inference and Decomposition in Planning Using Causal Consistent Chains
    Download  www.tecn.upf.es
    Current state-of-the-art planners solve problems, easy and hard alike, by search, expanding hundreds or thousands of nodes. Yet, given the ability of people to solve easy problems...
    Nir Lipovetzky, Hector Geffner
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    VLDB
    1998
    ACM
    147views Database» more  VLDB 1998»
    Scalable Techniques for Mining Causal Structures
    13 years 11 months ago
    Scalable Techniques for Mining Causal Structures
    Download  www.vldb.org
    Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
    Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...
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    UAI
    2008
    229views Artificial Intelligence» more  UAI 2008»
    Discovering Cyclic Causal Models by Independent Components Analysis
    13 years 9 months ago
    Discovering Cyclic Causal Models by Independent Components Analysis
    Download  www.optimizelife.com
    We generalize Shimizu et al's (2006) ICA-based approach for discovering linear non-Gaussian acyclic (LiNGAM) Structural Equation Models (SEMs) from causally sufficient, conti...
    Gustavo Lacerda, Peter Spirtes, Joseph Ramsey, Pat...
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    KDD
    2003
    ACM
    175views Data Mining» more  KDD 2003»
    Time and sample efficient discovery of Markov blankets and direct causal relations
    14 years 8 months ago
    Time and sample efficient discovery of Markov blankets and direct causal relations
    Download  www.dsl-lab.org
    Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
    Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
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