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    ICTAI
    2009
    IEEE
    145views Artificial Intelligence» more  ICTAI 2009»
    Probabilistic Neural Logic Network Learning: Taking Cues from Neuro-Cognitive Processes
    14 years 3 months ago
    Probabilistic Neural Logic Network Learning: Taking Cues from Neuro-Cognitive Processes
    Download  www.comp.nus.edu.sg
    This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive le...
    Henry Wai Kit Chia, Chew Lim Tan, Sam Yuan Sung
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    ICPR
    2008
    IEEE
    223views Computer Vision» more  ICPR 2008»
    A supervised learning approach for imbalanced data sets
    14 years 3 months ago
    A supervised learning approach for imbalanced data sets
    Download  figment.cse.usf.edu
    This paper presents a new learning approach for pattern classification applications involving imbalanced data sets. In this approach, a clustering technique is employed to resamp...
    Giang Hoang Nguyen, Abdesselam Bouzerdoum, Son Lam...
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    ALENEX
    2008
    133views Algorithms» more  ALENEX 2008»
    Comparing Online Learning Algorithms to Stochastic Approaches for the Multi-Period Newsvendor Problem
    13 years 10 months ago
    Comparing Online Learning Algorithms to Stochastic Approaches for the Multi-Period Newsvendor Problem
    Download  www.nd.edu
    The multi-period newsvendor problem describes the dilemma of a newspaper salesman--how many paper should he purchase each day to resell, when he doesn't know the demand? We d...
    Shawn O'Neil, Amitabh Chaudhary
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    ESANN
    2007
    147views Neural Networks» more  ESANN 2007»
    Intrinsic plasticity for reservoir learning algorithms
    13 years 10 months ago
    Intrinsic plasticity for reservoir learning algorithms
    Download  www.dice.ucl.ac.be
    One of the most difficult problems in using dynamic reservoirs like echo state networks for signal processing is the choice of reservoir network parameters like connectivity or spe...
    Marion Wardermann, Jochen J. Steil
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    NIPS
    2001
    79views Information Technology» more  NIPS 2001»
    Learning Spike-Based Correlations and Conditional Probabilities in Silicon
    13 years 10 months ago
    Learning Spike-Based Correlations and Conditional Probabilities in Silicon
    Download  books.nips.cc
    We have designed and fabricated a VLSI synapse that can learn a conditional probability or correlation between spike-based inputs and feedback signals. The synapse is low power, c...
    Aaron P. Shon, David Hsu, Chris Diorio
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