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    BMCBI
    2007
    115views more  BMCBI 2007»
    A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
    13 years 8 months ago
    A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
    Download  www.biomedcentral.com
    Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
    Stephen Winters-Hilt, Carl Baribault
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    FGCS
    2006
    114views more  FGCS 2006»
    A semantic approach to discovering learning services in grid-based collaborative systems
    13 years 8 months ago
    A semantic approach to discovering learning services in grid-based collaborative systems
    Download  hal.archives-ouvertes.fr
    CSCL systems can benefit from using grids since they offer a common infrastructure enabling the access to an extended pool of resources that can provide supercomputing capabilitie...
    Guillermo Vega-Gorgojo, Miguel L. Bote-Lorenzo, Ed...
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    IJRR
    2008
    139views more  IJRR 2008»
    Learning to Control in Operational Space
    13 years 8 months ago
    Learning to Control in Operational Space
    Download  www.kyb.tuebingen.mpg.de
    One of the most general frameworks for phrasing control problems for complex, redundant robots is operational space control. However, while this framework is of essential importan...
    Jan Peters, Stefan Schaal
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    IOR
    2008
    128views more  IOR 2008»
    Promised Lead-Time Contracts Under Asymmetric Information
    13 years 8 months ago
    Promised Lead-Time Contracts Under Asymmetric Information
    Download  som.utdallas.edu
    We study the important problem of how a supplier should optimally share the consequences of demand uncertainty (i.e., the cost of inventory excesses and shortages) with a retailer...
    Holly Lutze, Özalp Özer
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    IOR
    2008
    91views more  IOR 2008»
    A Randomized Quasi-Monte Carlo Simulation Method for Markov Chains
    13 years 8 months ago
    A Randomized Quasi-Monte Carlo Simulation Method for Markov Chains
    Download  www.iro.umontreal.ca
    We introduce and study a randomized quasi-Monte Carlo method for estimating the state distribution at each step of a Markov chain. The number of steps in the chain can be random an...
    Pierre L'Ecuyer, Christian Lécot, Bruno Tuf...
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