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    NIPS
    2008
    127views Information Technology» more  NIPS 2008»
    Efficient Inference in Phylogenetic InDel Trees
    14 years 29 days ago
    Efficient Inference in Phylogenetic InDel Trees
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    Accurate and efficient inference in evolutionary trees is a central problem in computational biology. While classical treatments have made unrealistic site independence assumption...
    Alexandre Bouchard-Côté, Michael I. J...
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    NIPS
    2008
    138views Information Technology» more  NIPS 2008»
    Modeling the effects of memory on human online sentence processing with particle filters
    14 years 29 days ago
    Modeling the effects of memory on human online sentence processing with particle filters
    Download  idiom.ucsd.edu
    Language comprehension in humans is significantly constrained by memory, yet rapid, highly incremental, and capable of utilizing a wide range of contextual information to resolve ...
    Roger P. Levy, Florencia Reali, Thomas L. Griffith...
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    NIPS
    2008
    207views Information Technology» more  NIPS 2008»
    DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
    14 years 29 days ago
    DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
    Download  www.cs.berkeley.edu
    Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
    Simon Lacoste-Julien, Fei Sha, Michael I. Jordan
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    NIPS
    2008
    210views Information Technology» more  NIPS 2008»
    Non-stationary dynamic Bayesian networks
    14 years 29 days ago
    Non-stationary dynamic Bayesian networks
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    Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
    Joshua W. Robinson, Alexander J. Hartemink
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    NIPS
    2008
    140views Information Technology» more  NIPS 2008»
    Skill Characterization Based on Betweenness
    14 years 29 days ago
    Skill Characterization Based on Betweenness
    Download  www-anw.cs.umass.edu
    We present a characterization of a useful class of skills based on a graphical representation of an agent's interaction with its environment. Our characterization uses betwee...
    Özgür Simsek, Andrew G. Barto
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    NIPS
    2008
    171views Information Technology» more  NIPS 2008»
    Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes
    14 years 29 days ago
    Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes
    Download  www.cs.brown.edu
    We develop a statistical framework for the simultaneous, unsupervised segmentation and discovery of visual object categories from image databases. Examining a large set of manuall...
    Erik B. Sudderth, Michael I. Jordan
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    NIPS
    2008
    129views Information Technology» more  NIPS 2008»
    Support Vector Machines with a Reject Option
    14 years 29 days ago
    Support Vector Machines with a Reject Option
    Download  eprints.pascal-network.org
    We consider the problem of binary classification where the classifier may abstain instead of classifying each observation. The Bayes decision rule for this setup, known as Chow�...
    Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshe...
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    NIPS
    2008
    105views Information Technology» more  NIPS 2008»
    Resolution Limits of Sparse Coding in High Dimensions
    14 years 29 days ago
    Resolution Limits of Sparse Coding in High Dimensions
    Download  www.eecs.berkeley.edu
    This paper addresses the problem of sparsity pattern detection for unknown ksparse n-dimensional signals observed through m noisy, random linear measurements. Sparsity pattern rec...
    Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
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    NIPS
    2008
    156views Information Technology» more  NIPS 2008»
    Online Metric Learning and Fast Similarity Search
    14 years 29 days ago
    Online Metric Learning and Fast Similarity Search
    Download  www.cs.utexas.edu
    Metric learning algorithms can provide useful distance functions for a variety of domains, and recent work has shown good accuracy for problems where the learner can access all di...
    Prateek Jain, Brian Kulis, Inderjit S. Dhillon, Kr...
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    NIPS
    2008
    126views Information Technology» more  NIPS 2008»
    Multi-task Gaussian Process Learning of Robot Inverse Dynamics
    14 years 29 days ago
    Multi-task Gaussian Process Learning of Robot Inverse Dynamics
    Download  www.sensopac.org
    The inverse dynamics problem for a robotic manipulator is to compute the torques needed at the joints to drive it along a given trajectory; it is beneficial to be able to learn th...
    Kian Ming Adam Chai, Christopher K. I. Williams, S...
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