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    ICONIP
    2009
    101views Information Technology» more  ICONIP 2009»
    SNIWD: Simultaneous Weight Noise Injection with Weight Decay for MLP Training
    13 years 6 months ago
    SNIWD: Simultaneous Weight Noise Injection with Weight Decay for MLP Training
    Download  web.nchu.edu.tw
    John Sum, Kevin Ho
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    ICONIP
    2009
    84views Information Technology» more  ICONIP 2009»
    Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation
    13 years 6 months ago
    Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation
    Download  www-als.ics.nitech.ac.jp
    Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano
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    ICONIP
    2009
    153views Information Technology» more  ICONIP 2009»
    Learning Gaussian Process Models from Uncertain Data
    13 years 6 months ago
    Learning Gaussian Process Models from Uncertain Data
    Download  damas.ift.ulaval.ca
    It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
    Patrick Dallaire, Camille Besse, Brahim Chaib-draa
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    ICONIP
    2009
    125views Information Technology» more  ICONIP 2009»
    Quasi-Deterministic Partially Observable Markov Decision Processes
    13 years 6 months ago
    Quasi-Deterministic Partially Observable Markov Decision Processes
    Download  damas.ift.ulaval.ca
    We study a subclass of POMDPs, called quasi-deterministic POMDPs (QDET-POMDPs), characterized by deterministic actions and stochastic observations. While this framework does not mo...
    Camille Besse, Brahim Chaib-draa
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    ICONIP
    2009
    132views Information Technology» more  ICONIP 2009»
    A Bayesian Graph Clustering Approach Using the Prior Based on Degree Distribution
    13 years 6 months ago
    A Bayesian Graph Clustering Approach Using the Prior Based on Degree Distribution
    Download  www-als.ics.nitech.ac.jp
    Naoyuki Harada, Yuta Ishikawa, Ichiro Takeuchi, Ry...
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    ICONIP
    2009
    127views Information Technology» more  ICONIP 2009»
    Comparing a Cognitive and a Neural Model for Relative Trust Dynamics
    13 years 6 months ago
    Comparing a Cognitive and a Neural Model for Relative Trust Dynamics
    Download  www.cs.vu.nl
    Trust dynamics can be modelled in relation to experiences. Both cognitive and neural models for trust dynamics in relation to experiences are available, but were not yet related or...
    S. Waqar Jaffry, Jan Treur
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    ICONIP
    2009
    116views Information Technology» more  ICONIP 2009»
    Probabilistic Combination of Multiple Evidence
    13 years 6 months ago
    Probabilistic Combination of Multiple Evidence
    Download  faculty.cs.tamu.edu
    In pattern recognition systems, data fusion is an important issue and evidence theory is one such method that has been successful. Many researchers have proposed different rules fo...
    Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop...
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    ICONIP
    2009
    107views Information Technology» more  ICONIP 2009»
    Tracking in Reinforcement Learning
    13 years 6 months ago
    Tracking in Reinforcement Learning
    Download  www.metz.supelec.fr
    Reinforcement learning induces non-stationarity at several levels. Adaptation to non-stationary environments is of course a desired feature of a fair RL algorithm. Yet, even if the...
    Matthieu Geist, Olivier Pietquin, Gabriel Fricout
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    ICONIP
    2009
    117views Information Technology» more  ICONIP 2009»
    Exploring Early Classification Strategies of Streaming Data with Delayed Attributes
    13 years 6 months ago
    Exploring Early Classification Strategies of Streaming Data with Delayed Attributes
    Download  marmota.dlsi.uji.es
    In contrast to traditional machine learning algorithms, where all data are available in batch mode, the new paradigm of streaming data poses additional difficulties, since data sam...
    Mónica Millán-Giraldo, J. Salvador S...
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    ICONIP
    2009
    184views Information Technology» more  ICONIP 2009»
    Robust Incremental Subspace Learning for Object Tracking
    13 years 6 months ago
    Robust Incremental Subspace Learning for Object Tracking
    Download  nlpr-web.ia.ac.cn
    In this paper, we introduce a novel incremental subspace based object tracking algorithm. The two major contributions of our work are the Robust PCA based occlusion handling scheme...
    Gang Yu, Zhiwei Hu, Hongtao Lu
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