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    IJON
    2007
    184views more  IJON 2007»
    Convex incremental extreme learning machine
    13 years 8 months ago
    Convex incremental extreme learning machine
    Download  www3.ntu.edu.sg
    Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
    Guang-Bin Huang, Lei Chen
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    SPAA
    1996
    ACM
    164views Distributed And Parallel Com...» more  SPAA 1996»
    From AAPC Algorithms to High Performance Permutation Routing and Sorting
    14 years 22 days ago
    From AAPC Algorithms to High Performance Permutation Routing and Sorting
    Download  www.cs.cmu.edu
    Several recent papers have proposed or analyzed optimal algorithms to route all-to-all personalizedcommunication (AAPC) over communication networks such as meshes, hypercubes and ...
    Thomas Stricker, Jonathan C. Hardwick
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    ICML
    2005
    IEEE
    112views Machine Learning» more  ICML 2005»
    Learning first-order probabilistic models with combining rules
    14 years 9 months ago
    Learning first-order probabilistic models with combining rules
    Download  www.biostat.wisc.edu
    Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
    Sriraam Natarajan, Prasad Tadepalli, Eric Altendor...
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    CEC
    2009
    IEEE
    123views Artificial Intelligence» more  CEC 2009»
    Hyper-learning for population-based incremental learning in dynamic environments
    14 years 3 months ago
    Hyper-learning for population-based incremental learning in dynamic environments
    Download  www.cs.le.ac.uk
    — The population-based incremental learning (PBIL) algorithm is a combination of evolutionary optimization and competitive learning. Recently, the PBIL algorithm has been applied...
    Shengxiang Yang, Hendrik Richter
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    BMCBI
    2007
    194views more  BMCBI 2007»
    Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
    13 years 8 months ago
    Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
    Download  www.biomedcentral.com
    Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
    Xin Zhao, Leo Wang-Kit Cheung
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