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    MMS
    2006
    130views Information Technology» more  MMS 2006»
    Support vector machine active learning for music retrieval
    13 years 5 months ago
    Support vector machine active learning for music retrieval
    Download  www.ee.columbia.edu
    Searching and organizing growing digital music collections requires a computational model of music similarity. This paper describes a system for performing flexible music similarit...
    Michael I. Mandel, Graham E. Poliner, Daniel P. W....
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    ICML
    2006
    IEEE
    405views Machine Learning» more  ICML 2006»
    The support vector decomposition machine
    14 years 6 months ago
    The support vector decomposition machine
    Download  www.cs.cmu.edu
    In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
    Francisco Pereira, Geoffrey J. Gordon
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    AIRS
    2006
    Springer
    144views Information Technology» more  AIRS 2006»
    Efficient and Robust Phrase Chunking Using Support Vector Machines
    13 years 9 months ago
    Efficient and Robust Phrase Chunking Using Support Vector Machines
    Download  140.115.112.118
    Automatic text chunking is a task which aims to recognize phrase structures in natural language text. It is the key technology of knowledge-based system where phrase structures pro...
    Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee, Show-Jane ...
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    IMECS
    2007
    187views Theoretical Computer Science» more  IMECS 2007»
    Support Vector Machine for Cardiac Beat Detection in Single Lead Electrocardiogram
    13 years 7 months ago
    Support Vector Machine for Cardiac Beat Detection in Single Lead Electrocardiogram
    Download  www.iaeng.org
    — Among all ECG components, QRS complex is the most significant feature. Entropy based method for the detection of QRS complexes (cardiac beat) in the single lead Electrocardiogr...
    Sarabjeet Singh Mehta, Nitin Shivappa Lingayat
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    SDM
    2004
    SIAM
    211views Data Mining» more  SDM 2004»
    Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
    13 years 7 months ago
    Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
    Download  www.dbs.informatik.uni-muenchen.de
    Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
    Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
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