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    ICMLA
    2009
    136views Machine Learning» more  ICMLA 2009»
    Alive on Back-feed Culprit Identification via Machine Learning
    13 years 9 months ago
    Alive on Back-feed Culprit Identification via Machine Learning
    Download  www1.cs.columbia.edu
    We describe an application of machine learning techniques toward the problem of predicting which network protector switch is the cause of an Alive on Back-Feed (ABF) event in the ...
    Bert C. Huang, Ansaf Salleb-Aouissi, Philip Gross
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    ICMLA
    2009
    181views Machine Learning» more  ICMLA 2009»
    Sensitivity Analysis of POMDP Value Functions
    13 years 9 months ago
    Sensitivity Analysis of POMDP Value Functions
    Download  www.cs.cmu.edu
    In sequential decision making under uncertainty, as in many other modeling endeavors, researchers observe a dynamical system and collect data measuring its behavior over time. The...
    Stéphane Ross, Masoumeh T. Izadi, Mark Merc...
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    ICMLA
    2009
    171views Machine Learning» more  ICMLA 2009»
    Learning Deep Neural Networks for High Dimensional Output Problems
    13 years 9 months ago
    Learning Deep Neural Networks for High Dimensional Output Problems
    Download  hal.archives-ouvertes.fr
    State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...
    Benjamin Labbé, Romain Hérault, Cl&e...
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    ICMLA
    2009
    200views Machine Learning» more  ICMLA 2009»
    Application of Artificial Neural Network (ANN) Method to Exergy Analysis of Thermodynamic Systems
    13 years 9 months ago
    Application of Artificial Neural Network (ANN) Method to Exergy Analysis of Thermodynamic Systems
    Download  bildiri.anadolu.edu.tr
    Exergy is a way to sustainable development and may be defined as the maximum theoretical useful work, while exergy analysis identifies the sources, the magnitude and the causes of...
    Yilmaz Yoru, T. Hikmet Karakoc, Arif Hepbasli
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    ICMLA
    2009
    129views Machine Learning» more  ICMLA 2009»
    Ranking Electrical Feeders of the New York Power Grid
    13 years 9 months ago
    Ranking Electrical Feeders of the New York Power Grid
    Download  www1.ccls.columbia.edu
    components of a system by susceptibility to failure. In this extended abstract, we present an ongoing project to rank the underground primary feeders of Consolidated Edison Company...
    Philip Gross, Ansaf Salleb-Aouissi, Haimonti Dutta...
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    ICMLA
    2009
    143views Machine Learning» more  ICMLA 2009»
    Learning Geographic Regions using Location Based Services in Next Generation Networks
    13 years 9 months ago
    Learning Geographic Regions using Location Based Services in Next Generation Networks
    Download  www.ruhr-uni-bochum.de
    Abstract--In this paper we apply classification to learn geographic regions using Location Based Services (LBS) in Next Generation Networks (NGN). We assume that the information in...
    Yuheng He, Attila Bilgic
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    ICMLA
    2009
    155views Machine Learning» more  ICMLA 2009»
    Structured Prediction with Relative Margin
    13 years 9 months ago
    Structured Prediction with Relative Margin
    Download  www.cs.columbia.edu
    In structured prediction problems, outputs are not confined to binary labels; they are often complex objects such as sequences, trees, or alignments. Support Vector Machine (SVM) ...
    Pannagadatta K. Shivaswamy, Tony Jebara
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    ICMLA
    2009
    171views Machine Learning» more  ICMLA 2009»
    Multiagent Transfer Learning via Assignment-Based Decomposition
    13 years 9 months ago
    Multiagent Transfer Learning via Assignment-Based Decomposition
    Download  web.engr.oregonstate.edu
    We describe a system that successfully transfers value function knowledge across multiple subdomains of realtime strategy games in the context of multiagent reinforcement learning....
    Scott Proper, Prasad Tadepalli
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    ICMLA
    2009
    193views Machine Learning» more  ICMLA 2009»
    Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling
    13 years 9 months ago
    Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling
    Download  simone.neuro.kuleuven.ac.be
    The Mind Speller is a Brain-Computer Interface which enables subjects to spell text on a computer screen by detecting P300 Event-Related Potentials in their electroencephalograms....
    Adrien Combaz, Nikolay V. Manyakov, Nikolay Chumer...
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    ICMLA
    2009
    228views Machine Learning» more  ICMLA 2009»
    The Neuro Slot Car Racer: Reinforcement Learning in a Real World Setting
    13 years 9 months ago
    The Neuro Slot Car Racer: Reinforcement Learning in a Real World Setting
    Download  www.timkietzmann.de
    This paper describes a novel real-world reinforcement learning application: The Neuro Slot Car Racer. In addition to presenting the system and first results based on Neural Fitted...
    Tim C. Kietzmann, Martin Riedmiller
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