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    BIOSYSTEMS
    2007
    72views more  BIOSYSTEMS 2007»
    On the use of multi-objective evolutionary algorithms for survival analysis
    13 years 8 months ago
    On the use of multi-objective evolutionary algorithms for survival analysis
    Download  pcwww.liv.ac.uk
    This paper proposes and evaluates a multi-objective evolutionary algorithm for survival analysis. One aim of survival analysis is the extraction of models from data that approxima...
    Christian Setzkorn, Azzam Fouad George Taktak, Ber...
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    ACID
    2006
    220views Algorithms» more  ACID 2006»
    Vertex and Edge Covers with Clustering Properties: Complexity and Algorithms
    13 years 10 months ago
    Vertex and Edge Covers with Clustering Properties: Complexity and Algorithms
    Download  www.dcs.gla.ac.uk
    We consider the concepts of a t-total vertex cover and a t-total edge cover (t 1), which generalize the notions of a vertex cover and an edge cover, respectively. A t-total verte...
    Henning Fernau, David Manlove
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    COLING
    1992
    88views Computational Linguistics» more  COLING 1992»
    Syntactic Ambiguity Resolution Using A Discrimination and Robustness Oriented Adaptive Learning Algorithm
    13 years 10 months ago
    Syntactic Ambiguity Resolution Using A Discrimination and Robustness Oriented Adaptive Learning Algorithm
    Download  acl.ldc.upenn.edu
    In this paper, a discrimination and robusmess oriented adaptive learning procedure is proposed to deal with the task of syntactic ambiguity resolution. Owing to the problem of ins...
    Tung-Hui Chiang, Yi-Chung Lin, Keh-Yih Su
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    ICML
    1999
    IEEE
    168views Machine Learning» more  ICML 1999»
    Least-Squares Temporal Difference Learning
    14 years 9 months ago
    Least-Squares Temporal Difference Learning
    Download  www.research.rutgers.edu
    Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
    Justin A. Boyan
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    ECCV
    2010
    Springer
    198views Computer Vision» more  ECCV 2010»
    Optimizing Complex Loss Functions in Structured Prediction
    14 years 2 months ago
    Optimizing Complex Loss Functions in Structured Prediction
    Download  www.cs.sfu.ca
    Abstract. In this paper we develop an algorithm for structured prediction that optimizes against complex performance measures, those which are a function of false positive and fals...
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