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    » On higher-order perceptron algorithms
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    NOLISP
    2007
    Springer
    117views Signal Processing» more  NOLISP 2007»
    A Hybrid Genetic-Neural Front-End Extension for Robust Speech Recognition over Telephone Lines
    14 years 2 months ago
    A Hybrid Genetic-Neural Front-End Extension for Robust Speech Recognition over Telephone Lines
    Download  www.eurasip.org
    This paper presents a hybrid technique combining the Karhonen-Loeve Transform (KLT), the Multilayer Perceptron (MLP) and Genetic Algorithms (GAs) to obtain less-variant Mel-freque...
    Sid-Ahmed Selouani, Habib Hamam, Douglas D. O'Shau...
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    EMNLP
    2007
    171views Natural Language Processing» more  EMNLP 2007»
    Multilingual Dependency Parsing and Domain Adaptation using DeSR
    13 years 10 months ago
    Multilingual Dependency Parsing and Domain Adaptation using DeSR
    Download  acl.ldc.upenn.edu
    We describe our experiments using the DeSR parser in the multilingual and domain adaptation tracks of the CoNLL 2007 shared task. DeSR implements an incremental deterministic Shif...
    Giuseppe Attardi, Felice dell'Orletta, Maria Simi,...
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    NIPS
    2004
    112views Information Technology» more  NIPS 2004»
    Learning first-order Markov models for control
    13 years 10 months ago
    Learning first-order Markov models for control
    Download  books.nips.cc
    First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...
    Pieter Abbeel, Andrew Y. Ng
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    COMGEO
    2010
    ACM
    141views Applied Computing» more  COMGEO 2010»
    Approximate centerpoints with proofs
    13 years 8 months ago
    Approximate centerpoints with proofs
    Download  www.cs.cmu.edu
    We present the IteratedTverberg algorithm, the first deterministic algorithm for computing an approximate centerpoint of a set S Rd with running time subexponential in d. The alg...
    Gary L. Miller, Donald Sheehy
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    ESANN
    2003
    137views Neural Networks» more  ESANN 2003»
    Neural Net with Two Hidden Layers for Non-Linear Blind Source Separation
    13 years 10 months ago
    Neural Net with Two Hidden Layers for Non-Linear Blind Source Separation
    Download  www.dice.ucl.ac.be
    In this paper, we present an algorithm that minimizes the mutual information between the outputs of a perceptron with two hidden layers. The neural network is then used as separati...
    Rubén Martín-Clemente, Susana Hornil...
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