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    ICMLA
    2009
    162views Machine Learning» more  ICMLA 2009»
    Transformation Learning Via Kernel Alignment
    13 years 9 months ago
    Transformation Learning Via Kernel Alignment
    Download  www.cs.columbia.edu
    This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
    Andrew Howard, Tony Jebara
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    ICMLA
    2009
    137views Machine Learning» more  ICMLA 2009»
    Conditional Prediction Intervals for Linear Regression
    13 years 9 months ago
    Conditional Prediction Intervals for Linear Regression
    Download  www.stat.uchicago.edu
    Peter McCullagh, Vladimir Vovk, Ilia Nouretdinov, ...
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    ICMLA
    2009
    167views Machine Learning» more  ICMLA 2009»
    Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule
    13 years 9 months ago
    Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule
    Download  ftp.cs.wisc.edu
    Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...
    Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapu...
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    ICMLA
    2009
    170views Machine Learning» more  ICMLA 2009»
    Regularizing the Local Similarity Discriminant Analysis Classifier
    13 years 9 months ago
    Regularizing the Local Similarity Discriminant Analysis Classifier
    Download  ee.washington.edu
    Abstract--We investigate parameter-based and distributionbased approaches to regularizing the generative, similarity-based classifier called local similarity discriminant analysis ...
    Luca Cazzanti, Maya R. Gupta
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    ICMLA
    2009
    121views Machine Learning» more  ICMLA 2009»
    A Syllable-Level Probabilistic Framework for Bird Species Identification
    13 years 9 months ago
    A Syllable-Level Probabilistic Framework for Bird Species Identification
    Download  eecs.oregonstate.edu
    In this paper, we present new probabilistic models for identifying bird species from audio recordings. We introduce the independent syllable model and consider two ways of aggregat...
    Balaji Lakshminarayanan, Raviv Raich, Xiaoli Fern
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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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