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    NIPS
    1998
    164views Information Technology» more  NIPS 1998»
    Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms
    13 years 11 months ago
    Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms
    Download  www.cis.upenn.edu
    In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
    Michael J. Kearns, Satinder P. Singh
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    CASCON
    1996
    139views Education» more  CASCON 1996»
    Data locality sensitivity of multithreaded computations on a distributed-memory multiprocessor
    13 years 11 months ago
    Data locality sensitivity of multithreaded computations on a distributed-memory multiprocessor
    Download  www.cs.ubc.ca
    The locality of the data in parallel programs is known to have a strong impact on the performance of distributed-memory multiprocessor systems. The worse the locality in access pa...
    Xinmin Tian, Shashank S. Nemawarkar, Guang R. Gao,...
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    BIOSYSTEMS
    2008
    77views more  BIOSYSTEMS 2008»
    A computational model of chemotaxis-based cell aggregation
    13 years 10 months ago
    A computational model of chemotaxis-based cell aggregation
    Download  www.cs.drexel.edu
    We present a computational model that successfully captures the cell behaviors that play important roles in 2-D cell aggregation. A virtual cell in our model is designed as an ind...
    Manolya Eyiyurekli, Prakash Manley, Peter I. Lelke...
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    BMCBI
    2010
    147views more  BMCBI 2010»
    Learning biological network using mutual information and conditional independence
    13 years 10 months ago
    Learning biological network using mutual information and conditional independence
    Download  www.biomedcentral.com
    Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
    Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
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    BMCBI
    2007
    139views more  BMCBI 2007»
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
    13 years 10 months ago
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
    Download  www.biomedcentral.com
    Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
    Andrew S. Peek
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