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    HIS
    2004
    125views Information Technology» more  HIS 2004»
    Classification Ensembles for Shaft Test Data: Empirical Evaluation
    13 years 6 months ago
    Classification Ensembles for Shaft Test Data: Empirical Evaluation
    Download  ducati.doc.ntu.ac.uk
    : A-scans from ultrasonic testing of long shafts are complex signals. The discrimination of different types of echoes is of importance for non-destructive testing and equipment mai...
    Kyungmi Lee, Vladimir Estivill-Castro
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    ESANN
    2004
    169views Neural Networks» more  ESANN 2004»
    Sparse LS-SVMs using additive regularization with a penalized validation criterion
    13 years 6 months ago
    Sparse LS-SVMs using additive regularization with a penalized validation criterion
    Download  www.dice.ucl.ac.be
    This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
    Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
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    ESANN
    2004
    160views Neural Networks» more  ESANN 2004»
    Evolutionary tuning of multiple SVM parameters
    13 years 6 months ago
    Evolutionary tuning of multiple SVM parameters
    Download  www.neuroinformatik.ruhr-uni-bochum.de
    The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...
    Frauke Friedrichs, Christian Igel
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    ACL
    2006
    180views Computational Linguistics» more  ACL 2006»
    Automatic Learning of Textual Entailments with Cross-Pair Similarities
    13 years 6 months ago
    Automatic Learning of Textual Entailments with Cross-Pair Similarities
    Download  dit.unitn.it
    In this paper we define a novel similarity measure between examples of textual entailments and we use it as a kernel function in Support Vector Machines (SVMs). This allows us to ...
    Fabio Massimo Zanzotto, Alessandro Moschitti
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    AAAI
    2006
    77views Intelligent Agents» more  AAAI 2006»
    Learning Noun-Modifier Semantic Relations with Corpus-based and WordNet-based Features
    13 years 6 months ago
    Learning Noun-Modifier Semantic Relations with Corpus-based and WordNet-based Features
    Download  rali.iro.umontreal.ca
    We study the performance of two representations of word meaning in learning noun-modifier semantic relations. One representation is based on lexical resources, in particular WordN...
    Vivi Nastase, Jelber Sayyad-Shirabad, Marina Sokol...
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    SDM
    2007
    SIAM
    81views Data Mining» more  SDM 2007»
    A PAC Bound for Approximate Support Vector Machines
    13 years 6 months ago
    A PAC Bound for Approximate Support Vector Machines
    Download  siam.org
    We study a class of algorithms that speed up the training process of support vector machines (SVMs) by returning an approximate SVM. We focus on algorithms that reduce the size of...
    Dongwei Cao, Daniel Boley
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    TRECVID
    2008
    148views Internet Technology» more  TRECVID 2008»
    ISM TRECVID2008 High-level Feature Extraction
    13 years 6 months ago
    ISM TRECVID2008 High-level Feature Extraction
    Download  www-nlpir.nist.gov
    We studied a method using support vector machines (SVMs) with walk-based graph kernels for the high-level feature extraction (HLF) task. In this method, each image is first segmen...
    Tomoko Matsui, Jean-Philippe Vert, Shin'ichi Satoh...
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    NIPS
    2007
    131views Information Technology» more  NIPS 2007»
    Parallelizing Support Vector Machines on Distributed Computers
    13 years 6 months ago
    Parallelizing Support Vector Machines on Distributed Computers
    Download  books.nips.cc
    Support Vector Machines (SVMs) suffer from a widely recognized scalability problem in both memory use and computational time. To improve scalability, we have developed a parallel ...
    Edward Y. Chang, Kaihua Zhu, Hao Wang, Hongjie Bai...
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    NIPS
    2008
    118views Information Technology» more  NIPS 2008»
    Relative Margin Machines
    13 years 6 months ago
    Relative Margin Machines
    Download  www.cs.columbia.edu
    In classification problems, Support Vector Machines maximize the margin of separation between two classes. While the paradigm has been successful, the solution obtained by SVMs is...
    Pannagadatta K. Shivaswamy, Tony Jebara
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    ESANN
    2007
    110views Neural Networks» more  ESANN 2007»
    An Estimation of Response Certainty using Features of Eye-movements
    13 years 6 months ago
    An Estimation of Response Certainty using Features of Eye-movements
    Download  www.dice.ucl.ac.be
    To examine the feasibility of estimating the degree of “strength of belief (SOB)” of viewer’s responses using support vector machines (SVM) trained with features of gazes, t...
    Minoru Nakayama, Yosiyuki Takahasi
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