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    GECCO
    2009
    Springer
    131views Optimization» more  GECCO 2009»
    Application of a simple binary genetic algorithm to a noiseless testbed benchmark
    14 years 1 months ago
    Application of a simple binary genetic algorithm to a noiseless testbed benchmark
    Download  sci2s.ugr.es
    One of the earliest evolutionary computation algorithms, the genetic algorithm, is applied to the noise-free BBOB 2009 testbed. It is adapted to the continuous domain by increasin...
    Miguel Nicolau
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    UAI
    2008
    216views Artificial Intelligence» more  UAI 2008»
    Learning Hidden Markov Models for Regression using Path Aggregation
    13 years 10 months ago
    Learning Hidden Markov Models for Regression using Path Aggregation
    Download  uai2008.cs.helsinki.fi
    We consider the task of learning mappings from sequential data to real-valued responses. We present and evaluate an approach to learning a type of hidden Markov model (HMM) for re...
    Keith Noto, Mark Craven
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    NIPS
    2003
    91views Information Technology» more  NIPS 2003»
    Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System
    13 years 10 months ago
    Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System
    Download  books.nips.cc
    We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
    Marc Toussaint
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    AAAI
    1994
    96views Intelligent Agents» more  AAAI 1994»
    Testing Physical Systems
    13 years 10 months ago
    Testing Physical Systems
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    We present a formal theory of model-based testing, an algorithm for test generation based on it, and outline how testing is implemented by a diagnostic engine. The key to making t...
    Peter Struss
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    NIPS
    1996
    110views Information Technology» more  NIPS 1996»
    A Micropower Analog VLSI HMM State Decoder for Wordspotting
    13 years 10 months ago
    A Micropower Analog VLSI HMM State Decoder for Wordspotting
    Download  www.cs.berkeley.edu
    We describe the implementation of a hidden Markov model state decoding system, a component for a wordspotting speech recognition system. The key specification for this state decod...
    John Lazzaro, John Wawrzynek, Richard Lippmann
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