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    NIPS
    2007
    161views Information Technology» more  NIPS 2007»
    The discriminant center-surround hypothesis for bottom-up saliency
    13 years 11 months ago
    The discriminant center-surround hypothesis for bottom-up saliency
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    The classical hypothesis, that bottom-up saliency is a center-surround process, is combined with a more recent hypothesis that all saliency decisions are optimal in a decision-the...
    Dashan Gao, Vijay Mahadevan, Nuno Vasconcelos
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    NIPS
    2007
    109views Information Technology» more  NIPS 2007»
    Learning and using relational theories
    13 years 11 months ago
    Learning and using relational theories
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    Much of human knowledge is organized into sophisticated systems that are often called intuitive theories. We propose that intuitive theories are mentally represented in a logical ...
    Charles Kemp, Noah Goodman, Joshua B. Tenenbaum
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    NIPS
    2007
    133views Information Technology» more  NIPS 2007»
    Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning
    13 years 11 months ago
    Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning
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    Electrical power management in large-scale IT systems such as commercial datacenters is an application area of rapidly growing interest from both an economic and ecological perspe...
    Gerald Tesauro, Rajarshi Das, Hoi Chan, Jeffrey O....
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    BMCBI
    2007
    136views more  BMCBI 2007»
    Prediction of tissue-specific cis-regulatory modules using Bayesian networks and regression trees
    13 years 9 months ago
    Prediction of tissue-specific cis-regulatory modules using Bayesian networks and regression trees
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    Background: In vertebrates, a large part of gene transcriptional regulation is operated by cisregulatory modules. These modules are believed to be regulating much of the tissue-sp...
    Xiaoyu Chen, Mathieu Blanchette
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    BMCBI
    2007
    153views more  BMCBI 2007»
    A new pairwise kernel for biological network inference with support vector machines
    13 years 9 months ago
    A new pairwise kernel for biological network inference with support vector machines
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    Background: Much recent work in bioinformatics has focused on the inference of various types of biological networks, representing gene regulation, metabolic processes, protein-pro...
    Jean-Philippe Vert, Jian Qiu, William Stafford Nob...
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