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    EDM
    2008
    169views Data Mining» more  EDM 2008»
    Mining Student Behavior Models in Learning-by-Teaching Environments
    14 years 11 months ago
    Mining Student Behavior Models in Learning-by-Teaching Environments
    Download  www.teachableagents.org
    This paper discusses our approach to building models and analyzing student behaviors in different versions of our learning by teaching environment where students learn by teaching ...
    Hogyeong Jeong, Gautam Biswas
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    IJIT
    2004
    200views Artificial Intelligence» more  IJIT 2004»
    A Hybrid Model for Part-of-Speech Tagging and its Application to Bengali
    14 years 11 months ago
    A Hybrid Model for Part-of-Speech Tagging and its Application to Bengali
    Download  shiva.iiit.ac.in
    This paper describes our work on Bengali Part of Speech (POS) tagging using a corpus-based approach. There are several approaches for part of speech tagging. This paper deals with ...
    Sandipan Dandapat, Sudeshna Sarkar, Anupam Basu
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    ESANN
    2003
    184views Neural Networks» more  ESANN 2003»
    Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks
    14 years 11 months ago
    Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks
    Download  www.dice.ucl.ac.be
    In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
    Jianyu Li, Siwei Luo, Yingjian Qi
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    NIPS
    1998
    147views Information Technology» more  NIPS 1998»
    Convergence of the Wake-Sleep Algorithm
    14 years 11 months ago
    Convergence of the Wake-Sleep Algorithm
    Download  www.ism.ac.jp
    The W-S (Wake-Sleep) algorithm is a simple learning rule for the models with hidden variables. It is shown that this algorithm can be applied to a factor analysis model which is a...
    Shiro Ikeda, Shun-ichi Amari, Hiroyuki Nakahara
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    ICML
    2009
    IEEE
    156views Machine Learning» more  ICML 2009»
    Accelerated sampling for the Indian Buffet Process
    14 years 7 months ago
    Accelerated sampling for the Indian Buffet Process
    Download  eprints.pascal-network.org
    We often seek to identify co-occurring hidden features in a set of observations. The Indian Buffet Process (IBP) provides a nonparametric prior on the features present in each obs...
    Finale Doshi-Velez, Zoubin Ghahramani
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