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    NIPS
    1990
    266views Information Technology» more  NIPS 1990»
    Bumptrees for Efficient Function, Constraint and Classification Learning
    13 years 5 months ago
    Bumptrees for Efficient Function, Constraint and Classification Learning
    Download  www.icsi.berkeley.edu
    A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
    Stephen M. Omohundro
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    JMLR
    2002
    106views more  JMLR 2002»
    Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
    13 years 4 months ago
    Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
    Download  jmlr.csail.mit.edu
    We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
    Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
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    ICML
    2006
    IEEE
    151views Machine Learning» more  ICML 2006»
    Efficient MAP approximation for dense energy functions
    14 years 5 months ago
    Efficient MAP approximation for dense energy functions
    Download  www.ri.cmu.edu
    We present an efficient method for maximizing energy functions with first and second order potentials, suitable for MAP labeling estimation problems that arise in undirected graph...
    Marius Leordeanu, Martial Hebert
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    ISCI
    2008
    95views more  ISCI 2008»
    Modified constrained learning algorithms incorporating additional functional constraints into neural networks
    13 years 4 months ago
    Modified constrained learning algorithms incorporating additional functional constraints into neural networks
    Download  www.intelengine.cn
    In this paper, two modified constrained learning algorithms are proposed to obtain better generalization performance and faster convergence rate. The additional cost terms of the ...
    Fei Han, Qing-Hua Ling, De-Shuang Huang
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    BVAI
    2007
    Springer
    464views Artificial Intelligence» more  BVAI 2007»
    Classification with Positive and Negative Equivalence Constraints: Theory, Computation and Human Experiments
    13 years 10 months ago
    Classification with Positive and Negative Equivalence Constraints: Theory, Computation and Human Experiments
    Download  www.cs.huji.ac.il
    We tested the efficiency of category learning when participants are provided only with pairs of objects, known to belong either to the same class (Positive Equivalence Constraints ...
    Rubi Hammer, Tomer Hertz, Shaul Hochstein, Daphna ...
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