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    NN
    2010
    Springer
    189views Neural Networks» more  NN 2010»
    Sparse kernel learning with LASSO and Bayesian inference algorithm
    13 years 2 months ago
    Sparse kernel learning with LASSO and Bayesian inference algorithm
    Download  www.eis.mdx.ac.uk
    Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
    Junbin Gao, Paul W. Kwan, Daming Shi
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    EVOW
    2008
    Springer
    137views Artificial Intelligence» more  EVOW 2008»
    Protein Interaction Inference Using Particle Swarm Optimization Algorithm
    13 years 9 months ago
    Protein Interaction Inference Using Particle Swarm Optimization Algorithm
    Download  www.cs.kent.ac.uk
    Many processes in the cell involve interaction among the proteins and determination of the networks of such interactions is of immense importance towards the complete understanding...
    Mudassar Iqbal, Alex Alves Freitas, Colin G. Johns...
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    ICML
    2004
    IEEE
    207views Machine Learning» more  ICML 2004»
    Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm
    14 years 8 months ago
    Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm
    Download  www.cs.ust.hk
    In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...
    Zhihua Zhang, Dit-Yan Yeung, James T. Kwok
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    ECML
    2005
    Springer
    154views Machine Learning» more  ECML 2005»
    U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models
    14 years 28 days ago
    U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models
    Download  eprints.pascal-network.org
    Abstract. In this paper we consider latent variable models and introduce a new U-likelihood concept for estimating the distribution over hidden variables. One can derive an estimat...
    JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin ...
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    IPPS
    2007
    IEEE
    114views Distributed And Parallel Com...» more  IPPS 2007»
    Message Routing and Scheduling in Optical Multistage Networks using Bayesian Inference method on AI algorithms
    14 years 1 months ago
    Message Routing and Scheduling in Optical Multistage Networks using Bayesian Inference method on AI algorithms
    Download  www.cecs.uci.edu
    Optical Multistage Interconnection Networks (MINs) suffer from optical-loss during switching and crosstalk problem in the switches. The crosstalk problem is solved by routing mess...
    Ajay K. Katangur, Somasheker Akkaladevi
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