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    NIPS
    2008
    175views Information Technology» more  NIPS 2008»
    Local Gaussian Process Regression for Real Time Online Model Learning
    15 years 1 months ago
    Local Gaussian Process Regression for Real Time Online Model Learning
    Download  www.kyb.tuebingen.mpg.de
    Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...
    Duy Nguyen-Tuong, Matthias Seeger, Jan Peters
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    AAAI
    2006
    165views Intelligent Agents» more  AAAI 2006»
    Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
    15 years 1 months ago
    Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
    Download  www.aaai.org
    The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
    David Wingate, Satinder P. Singh
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    IJCAI
    2003
    163views Artificial Intelligence» more  IJCAI 2003»
    Does a New Simple Gaussian Weighting Approach Perform Well in Text Categorization?
    15 years 1 months ago
    Does a New Simple Gaussian Weighting Approach Perform Well in Text Categorization?
    Download  dli.iiit.ac.in
    A new approach to the Text Categorization problem is here presented. It is called Gaussian Weighting and it is a supervised learning algorithm that, during the training phase, est...
    Giorgio Maria Di Nunzio, Alessandro Micarelli
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    IJCAI
    2003
    122views Artificial Intelligence» more  IJCAI 2003»
    Gaussian Process Models of Spatial Aggregation Algorithms
    15 years 1 months ago
    Gaussian Process Models of Spatial Aggregation Algorithms
    Download  www.cs.dartmouth.edu
    Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
    Naren Ramakrishnan, Christopher Bailey-Kellogg
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    NIPS
    2003
    147views Information Technology» more  NIPS 2003»
    Nonstationary Covariance Functions for Gaussian Process Regression
    15 years 1 months ago
    Nonstationary Covariance Functions for Gaussian Process Regression
    Download  books.nips.cc
    We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
    Christopher J. Paciorek, Mark J. Schervish
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