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    ICDM
    2003
    IEEE
    119views Data Mining» more  ICDM 2003»
    A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
    14 years 2 months ago
    A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
    Download  www.informatik.uni-hamburg.de
    Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
    Chihli Hung, Stefan Wermter
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    GECCO
    2007
    Springer
    314views Optimization» more  GECCO 2007»
    Variable selection for wind power prediction using particle swarm optimization
    14 years 3 months ago
    Variable selection for wind power prediction using particle swarm optimization
    Download  www.iset.uni-kassel.de
    Wind energy has an increasing influence on the energy supply in many countries, but in contrast to conventional power plants it is a fluctuating energy source. For its integration...
    René Jursa
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    VALUETOOLS
    2006
    ACM
    164views Hardware» more  VALUETOOLS 2006»
    Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
    14 years 3 months ago
    Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
    Download  www.unibw.de
    High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
    Kai Lampka, Markus Siegle
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    NIPS
    2003
    121views Information Technology» more  NIPS 2003»
    A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems
    13 years 10 months ago
    A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems
    Download  books.nips.cc
    Synapses are a critical element of biologically-realistic, spike-based neural computation, serving the role of communication, computation, and modification. Many different circui...
    Rock Z. Shi, Timothy K. Horiuchi
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    TSMC
    2008
    177views more  TSMC 2008»
    Adaptive Critic Learning Techniques for Engine Torque and Air-Fuel Ratio Control
    13 years 7 months ago
    Adaptive Critic Learning Techniques for Engine Torque and Air-Fuel Ratio Control
    Download  www.ece.uic.edu
    A new approach for engine calibration and control is proposed. In this paper, we present our research results on the implementation of adaptive critic designs for self-learning con...
    Derong Liu, Hossein Javaherian, Olesia Kovalenko, ...
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