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    ICMLA
    2009
    131views Machine Learning» more  ICMLA 2009»
    An Ordinal Data Method for the Classification with Reject Option
    14 years 22 hour ago
    An Ordinal Data Method for the Classification with Reject Option
    Download  www.inescporto.pt
    In this work we consider the problem of binary classification where the classifier may abstain instead of classifying each observation, leaving the critical items for human evaluat...
    Ricardo Sousa, Beatriz Mora, Jaime S. Cardoso
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    ICMLA
    2009
    185views Machine Learning» more  ICMLA 2009»
    Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
    14 years 22 hour ago
    Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
    Download  staff.science.uva.nl
    Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
    Mark Kroon, Shimon Whiteson
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    ICMLA
    2009
    159views Machine Learning» more  ICMLA 2009»
    Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk
    14 years 22 hour ago
    Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk
    Download  www.cse.wustl.edu
    Patients undergoing thoracic radiation therapy can develop radiation pneumonitis (RP), a potentially fatal inflammation of the lungs. Support vector machines (SVMs), a statistical...
    Todd W. Schiller, Yixin Chen, Issam El-Naqa, Josep...
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    ICMLA
    2009
    169views Machine Learning» more  ICMLA 2009»
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    14 years 22 hour ago
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    Download  www.ipb.uni-bonn.de
    Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
    Johannes Hartz
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    ICMLA
    2009
    167views Machine Learning» more  ICMLA 2009»
    Structured Prediction Models for Chord Transcription of Music Audio
    14 years 22 hour ago
    Structured Prediction Models for Chord Transcription of Music Audio
    Download  www.cs.columbia.edu
    Chord sequences are a compact and useful description of music, representing each beat or measure in terms of a likely distribution over individual notes without specifying the not...
    Adrian Weller, Daniel P. W. Ellis, Tony Jebara
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    ICMLA
    2009
    149views Machine Learning» more  ICMLA 2009»
    Text Classification Methodologies Applied to Micro-Text in Military Chat
    14 years 22 hour ago
    Text Classification Methodologies Applied to Micro-Text in Military Chat
    Download  www.cs.cmu.edu
    We propose methods to classify lines of military chat, or posts, which contain items of interest. We evaluated several current text categorization and feature selection methodologi...
    Kevin Dela Rosa, Jeffrey Ellen
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    ICMLA
    2009
    208views Machine Learning» more  ICMLA 2009»
    ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approx
    14 years 22 hour ago
    ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approx
    Download  www.grappa.univ-lille3.fr
    This paper introduces a new algorithm, namely the EquiCorrelation Network (ECON), to perform supervised classification, and regression. ECON is a kernelized LARS-like algorithm, b...
    Manuel Loth, Philippe Preux, Samuel Delepoulle, Ch...
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    ICMLA
    2009
    152views Machine Learning» more  ICMLA 2009»
    Discovering Characterization Rules from Rankings
    14 years 22 hour ago
    Discovering Characterization Rules from Rankings
    Download  www1.cs.columbia.edu
    For many ranking applications we would like to understand not only which items are top-ranked, but also why they are top-ranked. However, many of the best ranking algorithms (e.g....
    Ansaf Salleb-Aouissi, Bert C. Huang, David L. Walt...
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    ICMLA
    2009
    184views Machine Learning» more  ICMLA 2009»
    Exact Graph Structure Estimation with Degree Priors
    14 years 22 hour ago
    Exact Graph Structure Estimation with Degree Priors
    Download  www1.cs.columbia.edu
    We describe a generative model for graph edges under specific degree distributions which admits an exact and efficient inference method for recovering the most likely structure. T...
    Bert Huang, Tony Jebara
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