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    ICMLA
    2008
    244views Machine Learning» more  ICMLA 2008»
    A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
    13 years 6 months ago
    A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
    Download  www.kyb.tuebingen.mpg.de
    Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
    Silvia Chiappa
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    ICMLA
    2008
    131views Machine Learning» more  ICMLA 2008»
    Video Shot Segmentation Using Late Fusion Technique
    13 years 6 months ago
    Video Shot Segmentation Using Late Fusion Technique
    Download  speech.iiit.ac.in
    In this paper, a new method for detecting shot boundaries in video sequences using a late fusion technique is proposed. The method uses color histogram as the feature, and process...
    C. Krishna Mohan, N. Dhananjaya, B. Yegnanarayana
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    ICMLA
    2008
    131views Machine Learning» more  ICMLA 2008»
    Text Classification Using Tree Kernels and Linguistic Information
    13 years 6 months ago
    Text Classification Using Tree Kernels and Linguistic Information
    Download  www.di.uevora.pt
    Standard Machine Learning approaches to text classification use the bag-of-words representation of documents to deceive the classification target function. Typical linguistic stru...
    Teresa Gonçalves, Paulo Quaresma
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    ICMLA
    2008
    195views Machine Learning» more  ICMLA 2008»
    Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture
    13 years 6 months ago
    Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture
    Download  www.grappa.univ-lille3.fr
    In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
    Sertan Girgin, Philippe Preux
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    ICMLA
    2008
    98views Machine Learning» more  ICMLA 2008»
    New Insights into Learning Algorithms and Datasets
    13 years 6 months ago
    New Insights into Learning Algorithms and Datasets
    Download  dml.cs.byu.edu
    We report on three distinct experiments that provide new valuable insights into learning algorithms and datasets. We first describe two effective meta-features that significantly ...
    Jun Won Lee, Christophe G. Giraud-Carrier
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