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    ICMLA
    2010
    247views Machine Learning» more  ICMLA 2010»
    Bayesian Classification of Flight Calls with a Novel Dynamic Time Warping Kernel
    13 years 9 months ago
    Bayesian Classification of Flight Calls with a Novel Dynamic Time Warping Kernel
    Download  www.cs.cornell.edu
    Abstract--In this paper we propose a probabilistic classification algorithm with a novel Dynamic Time Warping (DTW) kernel to automatically recognize flight calls of different spec...
    Theodoros Damoulas, Samuel Henry, Andrew Farnswort...
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    ICMLA
    2010
    189views Machine Learning» more  ICMLA 2010»
    Classification Models with Global Constraints for Ordinal Data
    13 years 9 months ago
    Classification Models with Global Constraints for Ordinal Data
    Download  www.inescporto.pt
    Ordinal classification is a form of multi-class classification where there is an inherent ordering between the classes, but not a meaningful numeric difference between them. Althou...
    Jaime S. Cardoso, Ricardo Sousa
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    ICMLA
    2010
    229views Machine Learning» more  ICMLA 2010»
    Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
    13 years 9 months ago
    Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
    Download  www.seas.upenn.edu
    Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
    Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...
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    ICMLA
    2010
    203views Machine Learning» more  ICMLA 2010»
    Multimodal Parameter-exploring Policy Gradients
    13 years 9 months ago
    Multimodal Parameter-exploring Policy Gradients
    Download  www6.in.tum.de
    Abstract-- Policy Gradients with Parameter-based Exploration (PGPE) is a novel model-free reinforcement learning method that alleviates the problem of high-variance gradient estima...
    Frank Sehnke, Alex Graves, Christian Osendorfer, J...
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    ICMLA
    2010
    173views Machine Learning» more  ICMLA 2010»
    Nonlinear Dynamical Multi-Scale Model of Associative Memory
    13 years 9 months ago
    Nonlinear Dynamical Multi-Scale Model of Associative Memory
    Download  www.isle.illinois.edu
    How can we get such reliable behavior from the mind when the brain is made up of such unreliable elements as neurons? We propose that the answer is related to the emergence of stab...
    Alexander M. Duda, Stephen E. Levinson
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    ICMLA
    2010
    161views Machine Learning» more  ICMLA 2010»
    Robust Learning for Adaptive Programs by Leveraging Program Structure
    13 years 9 months ago
    Robust Learning for Adaptive Programs by Leveraging Program Structure
    Download  web.engr.oregonstate.edu
    Abstract--We study how to effectively integrate reinforcement learning (RL) and programming languages via adaptation-based programming, where programs can include non-deterministic...
    Jervis Pinto, Alan Fern, Tim Bauer, Martin Erwig
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    ICMLA
    2010
    133views Machine Learning» more  ICMLA 2010»
    Smoothing Gene Expression Using Biological Networks
    13 years 9 months ago
    Smoothing Gene Expression Using Biological Networks
    Download  math.bu.edu
    Gene expression (microarray) data have been used widely in bioinformatics. The expression data of a large number of genes from small numbers of subjects are used to identify inform...
    Yue Fan, Mark A. Kon, Shinuk Kim, Charles DeLisi
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    ICMLA
    2010
    211views Machine Learning» more  ICMLA 2010»
    Ensembles of Neural Networks for Robust Reinforcement Learning
    13 years 9 months ago
    Ensembles of Neural Networks for Robust Reinforcement Learning
    Download  ahans.de
    Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
    Alexander Hans, Steffen Udluft
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    ICMLA
    2010
    154views Machine Learning» more  ICMLA 2010»
    An All-at-once Unimodal SVM Approach for Ordinal Classification
    13 years 9 months ago
    An All-at-once Unimodal SVM Approach for Ordinal Classification
    Download  www.inescporto.pt
    Abstract--Support vector machines (SVMs) were initially proposed to solve problems with two classes. Despite the myriad of schemes for multiclassification with SVMs proposed since ...
    Joaquim F. Pinto da Costa, Ricardo Sousa, Jaime S....
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    ICMLA
    2010
    242views Machine Learning» more  ICMLA 2010»
    Heuristic Method for Discriminative Structure Learning of Markov Logic Networks
    13 years 9 months ago
    Heuristic Method for Discriminative Structure Learning of Markov Logic Networks
    Download  www.univ-orleans.fr
    Markov Logic Networks (MLNs) combine Markov Networks and first-order logic by attaching weights to firstorder formulas and viewing them as templates for features of Markov Networks...
    Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrai...
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