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    JMLR
    2010
    103views more  JMLR 2010»
    Learning Nonlinear Dynamic Models from Non-sequenced Data
    13 years 3 months ago
    Learning Nonlinear Dynamic Models from Non-sequenced Data
    Download  www.cs.cmu.edu
    Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
    Tzu-Kuo Huang, Le Song, Jeff Schneider
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    MIR
    2006
    ACM
    141views Multimedia» more  MIR 2006»
    Mining temporal patterns of movement for video content classification
    14 years 3 months ago
    Mining temporal patterns of movement for video content classification
    Download  www.mit.edu
    Scalable approaches to video content classification are limited by an inability to automatically generate representations of events ode abstract temporal structure. This paper pre...
    Michael Fleischman, Philip DeCamp, Deb Roy
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    EMNLP
    2009
    136views Natural Language Processing» more  EMNLP 2009»
    Active Learning by Labeling Features
    13 years 7 months ago
    Active Learning by Labeling Features
    Download  www.cs.umass.edu
    Methods that learn from prior information about input features such as generalized expectation (GE) have been used to train accurate models with very little effort. In this paper,...
    Gregory Druck, Burr Settles, Andrew McCallum
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    WCE
    2007
    180views Electrical And Computer Engi...» more  WCE 2007»
    Gene Selection for Tumor Classification Using Microarray Gene Expression Data
    13 years 10 months ago
    Gene Selection for Tumor Classification Using Microarray Gene Expression Data
    Download  www.iaeng.org
    – In this paper we perform a t-test for significant gene expression analysis in different dimensions based on molecular profiles from microarray data, and compare several computa...
    Krishna Yendrapalli, Ram B. Basnet, Srinivas Mukka...
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    SBRN
    2008
    IEEE
    189views Neural Networks» more  SBRN 2008»
    Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing
    14 years 3 months ago
    Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing
    Download  escher.elis.ugent.be
    The design of an autonomous navigation system for mobile robots can be a tough task. Noisy sensors, unstructured environments and unpredictability are among the problems which mus...
    Eric A. Antonelo, Benjamin Schrauwen, Dirk Strooba...
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