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    JMLR
    2008
    137views more  JMLR 2008»
    Online Learning of Complex Prediction Problems Using Simultaneous Projections
    13 years 9 months ago
    Online Learning of Complex Prediction Problems Using Simultaneous Projections
    Download  jmlr.csail.mit.edu
    We describe and analyze an algorithmic framework for online classification where each online trial consists of multiple prediction tasks that are tied together. We tackle the prob...
    Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer
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    IEEEMM
    2007
    146views more  IEEEMM 2007»
    Learning Microarray Gene Expression Data by Hybrid Discriminant Analysis
    13 years 9 months ago
    Learning Microarray Gene Expression Data by Hybrid Discriminant Analysis
    Download  venom.cs.utsa.edu
    — Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...
    Yijuan Lu, Qi Tian, Maribel Sanchez, Jennifer L. N...
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    DATAMINE
    2002
    169views more  DATAMINE 2002»
    Advances in Instance Selection for Instance-Based Learning Algorithms
    13 years 9 months ago
    Advances in Instance Selection for Instance-Based Learning Algorithms
    Download  sci2s.ugr.es
    The basic nearest neighbour classifier suffers from the indiscriminate storage of all presented training instances. With a large database of instances classification response time ...
    Henry Brighton, Chris Mellish
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    IJAIT
    2002
    81views more  IJAIT 2002»
    Guiding Constructive Search with Statistical Instance-Based Learning
    13 years 9 months ago
    Guiding Constructive Search with Statistical Instance-Based Learning
    Download  homepages.cwi.nl
    Several real world applications involve solving combinatorial optimization problems. Commonly, existing heuristic approaches are designed to address specific difficulties of the u...
    Orestis Telelis, Panagiotis Stamatopoulos
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    TEC
    2002
    133views more  TEC 2002»
    Learning and optimization using the clonal selection principle
    13 years 9 months ago
    Learning and optimization using the clonal selection principle
    Download  www.dca.fee.unicamp.br
    The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
    Leandro Nunes de Castro, Fernando J. Von Zuben
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