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    NIPS
    2008
    136views Information Technology» more  NIPS 2008»
    Clusters and Coarse Partitions in LP Relaxations
    13 years 6 months ago
    Clusters and Coarse Partitions in LP Relaxations
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    We propose a new class of consistency constraints for Linear Programming (LP) relaxations for finding the most probable (MAP) configuration in graphical models. Usual cluster-base...
    David Sontag, Amir Globerson, Tommi Jaakkola
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    NIPS
    2008
    129views Information Technology» more  NIPS 2008»
    Structure Learning in Human Sequential Decision-Making
    13 years 6 months ago
    Structure Learning in Human Sequential Decision-Making
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    We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
    Daniel Acuña, Paul R. Schrater
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    NIPS
    2008
    201views Information Technology» more  NIPS 2008»
    Using Bayesian Dynamical Systems for Motion Template Libraries
    13 years 6 months ago
    Using Bayesian Dynamical Systems for Motion Template Libraries
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    Motor primitives or motion templates have become an important concept for both modeling human motor control as well as generating robot behaviors using imitation learning. Recent ...
    Silvia Chiappa, Jens Kober, Jan Peters
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    NIPS
    2008
    139views Information Technology» more  NIPS 2008»
    A spatially varying two-sample recombinant coalescent, with applications to HIV escape response
    13 years 6 months ago
    A spatially varying two-sample recombinant coalescent, with applications to HIV escape response
    Download  alexbraunstein.com
    Statistical evolutionary models provide an important mechanism for describing and understanding the escape response of a viral population under a particular therapy. We present a ...
    Alexander Braunstein, Zhi Wei, Shane T. Jensen, Jo...
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    NIPS
    2008
    127views Information Technology» more  NIPS 2008»
    Robust Regression and Lasso
    13 years 6 months ago
    Robust Regression and Lasso
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    We consider robust least-squares regression with feature-wise disturbance. We show that this formulation leads to tractable convex optimization problems, and we exhibit a particul...
    Huan Xu, Constantine Caramanis, Shie Mannor
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    NIPS
    2008
    129views Information Technology» more  NIPS 2008»
    Measures of Clustering Quality: A Working Set of Axioms for Clustering
    13 years 6 months ago
    Measures of Clustering Quality: A Working Set of Axioms for Clustering
    Download  www.cs.uwaterloo.ca
    Aiming towards the development of a general clustering theory, we discuss abstract axiomatization for clustering. In this respect, we follow up on the work of Kleinberg, ([1]) tha...
    Shai Ben-David, Margareta Ackerman
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    NIPS
    2008
    115views Information Technology» more  NIPS 2008»
    Localized Sliced Inverse Regression
    13 years 6 months ago
    Localized Sliced Inverse Regression
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    Qiang Wu, Sayan Mukherjee, Feng Liang
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    NIPS
    2008
    111views Information Technology» more  NIPS 2008»
    Correlated Bigram LSA for Unsupervised Language Model Adaptation
    13 years 6 months ago
    Correlated Bigram LSA for Unsupervised Language Model Adaptation
    Download  isl.ira.uka.de
    We present a correlated bigram LSA approach for unsupervised LM adaptation for automatic speech recognition. The model is trained using efficient variational EM and smoothed using...
    Yik-Cheung Tam, Tanja Schultz
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    NIPS
    2008
    121views Information Technology» more  NIPS 2008»
    Spike Feature Extraction Using Informative Samples
    13 years 6 months ago
    Spike Feature Extraction Using Informative Samples
    Download  www.klab.caltech.edu
    This paper presents a new spike feature extraction algorithm that targets real-time spike sorting and facilitates miniaturized microchip implementation. The proposed algorithm has...
    Zhi Yang, Qi Zhao, Wentai Liu
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    NIPS
    2008
    117views Information Technology» more  NIPS 2008»
    Continuously-adaptive discretization for message-passing algorithms
    13 years 6 months ago
    Continuously-adaptive discretization for message-passing algorithms
    Download  users.dickinson.edu
    Continuously-Adaptive Discretization for Message-Passing (CAD-MP) is a new message-passing algorithm for approximate inference. Most message-passing algorithms approximate continu...
    Michael Isard, John MacCormick, Kannan Achan
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