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    ICML
    2009
    IEEE
    157views Machine Learning» more  ICML 2009»
    Learning structurally consistent undirected probabilistic graphical models
    14 years 8 months ago
    Learning structurally consistent undirected probabilistic graphical models
    Download  www.cs.unm.edu
    In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
    Sushmita Roy, Terran Lane, Margaret Werner-Washbur...
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    ESANN
    2007
    128views Neural Networks» more  ESANN 2007»
    A supervised learning approach based on STDP and polychronization in spiking neuron networks
    13 years 8 months ago
    A supervised learning approach based on STDP and polychronization in spiking neuron networks
    Download  www.dice.ucl.ac.be
    We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biol...
    Hélène Paugam-Moisy, Régis Ma...
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    VEE
    2012
    ACM
    322views Virtualization» more  VEE 2012»
    Modeling virtualized applications using machine learning techniques
    12 years 2 months ago
    Modeling virtualized applications using machine learning techniques
    Download  www.cl.cam.ac.uk
    With the growing adoption of virtualized datacenters and cloud hosting services, the allocation and sizing of resources such as CPU, memory, and I/O bandwidth for virtual machines...
    Sajib Kundu, Raju Rangaswami, Ajay Gulati, Ming Zh...
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    JMLR
    2012
    230views Programming Languages» more  JMLR 2012»
    Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
    11 years 9 months ago
    Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
    Download  www.cs.cmu.edu
    The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
    Avneesh Singh Saluja, Priya Krishnan Sundararajan,...
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    TSMC
    2008
    162views more  TSMC 2008»
    Codevelopmental Learning Between Human and Humanoid Robot Using a Dynamic Neural-Network Model
    13 years 7 months ago
    Codevelopmental Learning Between Human and Humanoid Robot Using a Dynamic Neural-Network Model
    Download  www.bdc.brain.riken.go.jp
    The paper examines characteristics of interactive learning between human tutors and a robot having a dynamic neural network model which is inspired by human parietal cortex functio...
    Jun Tani, Ryunosuke Nishimoto, Jun Namikawa, Masat...
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