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    ICMLA
    2009
    213views Machine Learning» more  ICMLA 2009»
    Discovering Rules from Disk Events for Predicting Hard Drive Failures
    13 years 9 months ago
    Discovering Rules from Disk Events for Predicting Hard Drive Failures
    Download  mllab.csa.iisc.ernet.in
    Detecting impending failure of hard disks is an important prediction task which might help computer systems to prevent loss of data and performance degradation. Currently most of t...
    Vipul Agarwal, Chiranjib Bhattacharyya, Thirumale ...
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    ICMLA
    2009
    131views Machine Learning» more  ICMLA 2009»
    All-Monotony: A Generalization of the All-Confidence Antimonotony
    13 years 9 months ago
    All-Monotony: A Generalization of the All-Confidence Antimonotony
    Download  perso.telecom-bretagne.eu
    Abstract--Many studies have shown the limits of support/confidence framework used in Apriori-like algorithms to mine association rules. One solution to cope with this limitation is...
    Yannick Le Bras, Philippe Lenca, Sorin Moga, St&ea...
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    ICMLA
    2009
    211views Machine Learning» more  ICMLA 2009»
    Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition
    13 years 9 months ago
    Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition
    Download  www.cis.pku.edu.cn
    Sparse representation for machine learning has been exploited in past years. Several sparse representation based classification algorithms have been developed for some application...
    Yangfeng Ji, Tong Lin, Hongbin Zha
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    ICMLA
    2009
    156views Machine Learning» more  ICMLA 2009»
    Knowledge Transfer for Feature Generation in Document Classification
    13 years 9 months ago
    Knowledge Transfer for Feature Generation in Document Classification
    Download  csc.lsu.edu
    One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
    Jian Zhang, Shobhit S. Shakya
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    ICMLA
    2009
    220views Machine Learning» more  ICMLA 2009»
    Exploring Scale-Induced Feature Hierarchies in Natural Images
    13 years 9 months ago
    Exploring Scale-Induced Feature Hierarchies in Natural Images
    Download  class.inrialpes.fr
    Recently there has been considerable interest in topic models based on the bag-of-features representation of images. The strong independence assumption inherent in the bag-of-feat...
    Jukka Perkiö, Tinne Tuytelaars, Wray L. Bunti...
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    ICMLA
    2009
    131views Machine Learning» more  ICMLA 2009»
    An Ordinal Data Method for the Classification with Reject Option
    13 years 9 months 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
    13 years 9 months 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
    13 years 9 months 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
    13 years 9 months 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
    13 years 9 months 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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