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    MASCOTS
    2003
    160views Modeling And Simulation» more  MASCOTS 2003»
    Using User Interface Event Information in Dynamic Voltage Scaling Algorithms
    13 years 8 months ago
    Using User Interface Event Information in Dynamic Voltage Scaling Algorithms
    Download  research.microsoft.com
    Increasingly, mobile computers use dynamic voltage scaling (DVS) to reduce CPU voltage and speed and thereby increase battery life. To determine how to change voltage and speed wh...
    Jacob R. Lorch, Alan Jay Smith
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    PDPTA
    2003
    99views Distributed And Parallel Com...» more  PDPTA 2003»
    Tuxedo: A Peer-to-Peer Caching System
    13 years 8 months ago
    Tuxedo: A Peer-to-Peer Caching System
    Download  www.cs.wayne.edu
    We are witnessing two trends in Web content access: (a) increasing amounts of dynamic and personalized Web content, and (b) a significant growth in “on-the-move” access using...
    Weisong Shi, Kandarp Shah, Yonggen Mao, Vipin Chau...
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    USITS
    1997
    161views Operating System» more  USITS 1997»
    Lightweight Security Primitives for E-Commerce
    13 years 8 months ago
    Lightweight Security Primitives for E-Commerce
    Download  theory.stanford.edu
    Emerging applications in electronic commerce often involve very low-cost transactions, which execute in the context of ongoing, extended clientserver relationships. For example, c...
    Yossi Matias, Alain J. Mayer, Abraham Silberschatz
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    ATAL
    2009
    Springer
    159views Intelligent Agents» more  ATAL 2009»
    Efficient physics-based planning: sampling search via non-deterministic tactics and skills
    13 years 8 months ago
    Efficient physics-based planning: sampling search via non-deterministic tactics and skills
    Download  www.cs.cmu.edu
    Motion planning for mobile agents, such as robots, acting in the physical world is a challenging task, which traditionally concerns safe obstacle avoidance. We are interested in p...
    Stefan Zickler, Manuela M. Veloso
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    ATAL
    2010
    Springer
    171views Intelligent Agents» more  ATAL 2010»
    Closing the learning-planning loop with predictive state representations
    13 years 8 months ago
    Closing the learning-planning loop with predictive state representations
    Download  www.cs.cmu.edu
    A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
    Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
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