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    ICML
    2005
    IEEE
    150views Machine Learning» more  ICML 2005»
    Coarticulation: an approach for generating concurrent plans in Markov decision processes
    14 years 8 months ago
    Coarticulation: an approach for generating concurrent plans in Markov decision processes
    Download  www.machinelearning.org
    We study an approach for performing concurrent activities in Markov decision processes (MDPs) based on the coarticulation framework. We assume that the agent has multiple degrees ...
    Khashayar Rohanimanesh, Sridhar Mahadevan
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    ICML
    2005
    IEEE
    114views Machine Learning» more  ICML 2005»
    Independent subspace analysis using geodesic spanning trees
    14 years 8 months ago
    Independent subspace analysis using geodesic spanning trees
    Download  www.machinelearning.org
    András Lörincz, Barnabás P&oacu...
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    ICML
    2005
    IEEE
    84views Machine Learning» more  ICML 2005»
    Optimizing abstaining classifiers using ROC analysis
    14 years 8 months ago
    Optimizing abstaining classifiers using ROC analysis
    Download  tadek.pietraszek.org
    Classifiers that refrain from classification in certain cases can significantly reduce the misclassification cost. However, the parameters for such abstaining classifiers are ofte...
    Tadeusz Pietraszek
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    ICML
    2005
    IEEE
    99views Machine Learning» more  ICML 2005»
    Predicting good probabilities with supervised learning
    14 years 8 months ago
    Predicting good probabilities with supervised learning
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    We examine the relationship between the predictions made by different learning algorithms and true posterior probabilities. We show that maximum margin methods such as boosted tre...
    Alexandru Niculescu-Mizil, Rich Caruana
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    ICML
    2005
    IEEE
    128views Machine Learning» more  ICML 2005»
    An efficient method for simplifying support vector machines
    14 years 8 months ago
    An efficient method for simplifying support vector machines
    Download  www.machinelearning.org
    In this paper we describe a new method to reduce the complexity of support vector machines by reducing the number of necessary support vectors included in their solutions. The red...
    DucDung Nguyen, Tu Bao Ho
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    ICML
    2005
    IEEE
    226views Machine Learning» more  ICML 2005»
    Discriminative versus generative parameter and structure learning of Bayesian network classifiers
    14 years 8 months ago
    Discriminative versus generative parameter and structure learning of Bayesian network classifiers
    Download  ssli.ee.washington.edu
    In this paper, we compare both discriminative and generative parameter learning on both discriminatively and generatively structured Bayesian network classifiers. We use either ma...
    Franz Pernkopf, Jeff A. Bilmes
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    ICML
    2005
    IEEE
    112views Machine Learning» more  ICML 2005»
    Learning first-order probabilistic models with combining rules
    14 years 8 months ago
    Learning first-order probabilistic models with combining rules
    Download  www.biostat.wisc.edu
    Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
    Sriraam Natarajan, Prasad Tadepalli, Eric Altendor...
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    ICML
    2005
    IEEE
    119views Machine Learning» more  ICML 2005»
    Dynamic preferences in multi-criteria reinforcement learning
    14 years 8 months ago
    Dynamic preferences in multi-criteria reinforcement learning
    Download  www.machinelearning.org
    The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
    Sriraam Natarajan, Prasad Tadepalli
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    ICML
    2005
    IEEE
    194views Machine Learning» more  ICML 2005»
    Q-learning of sequential attention for visual object recognition from informative local descriptors
    14 years 8 months ago
    Q-learning of sequential attention for visual object recognition from informative local descriptors
    Download  www.mobvis.org
    This work provides a framework for learning sequential attention in real-world visual object recognition, using an architecture of three processing stages. The first stage rejects...
    Lucas Paletta, Gerald Fritz, Christin Seifert
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    ICML
    2005
    IEEE
    100views Machine Learning» more  ICML 2005»
    A graphical model for chord progressions embedded in a psychoacoustic space
    14 years 8 months ago
    A graphical model for chord progressions embedded in a psychoacoustic space
    Download  www.machinelearning.org
    Chord progressions are the building blocks from which tonal music is constructed. Inferring chord progressions is thus an essential step towards modeling long term dependencies in...
    David Barber, Douglas Eck, Jean-François Pa...
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