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    NIPS
    2007
    189views Information Technology» more  NIPS 2007»
    Learning the structure of manifolds using random projections
    13 years 6 months ago
    Learning the structure of manifolds using random projections
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    We present a simple variant of the k-d tree which automatically adapts to intrinsic low dimensional structure in data.
    Yoav Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul ...
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    NIPS
    2007
    122views Information Technology» more  NIPS 2007»
    Structured Learning with Approximate Inference
    13 years 6 months ago
    Structured Learning with Approximate Inference
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    In many structured prediction problems, the highest-scoring labeling is hard to compute exactly, leading to the use of approximate inference methods. However, when inference is us...
    Alex Kulesza, Fernando Pereira
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    NIPS
    2007
    109views Information Technology» more  NIPS 2007»
    Exponential Family Predictive Representations of State
    13 years 6 months ago
    Exponential Family Predictive Representations of State
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    David Wingate, Satinder Singh Baveja
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    NIPS
    2007
    187views Information Technology» more  NIPS 2007»
    Regularized Boost for Semi-Supervised Learning
    13 years 6 months ago
    Regularized Boost for Semi-Supervised Learning
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    Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
    Ke Chen 0001, Shihai Wang
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    NIPS
    2007
    115views Information Technology» more  NIPS 2007»
    Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing
    13 years 6 months ago
    Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing
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    In this paper we formulate a novel AND/OR graph representation capable of describing the different configurations of deformable articulated objects such as horses. The representa...
    Yuanhao Chen, Long Zhu, Chenxi Lin, Alan L. Yuille...
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    NIPS
    2007
    200views Information Technology» more  NIPS 2007»
    Receptive Fields without Spike-Triggering
    13 years 6 months ago
    Receptive Fields without Spike-Triggering
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    Stimulus selectivity of sensory neurons is often characterized by estimating their receptive field properties such as orientation selectivity. Receptive fields are usually deriv...
    Jakob Macke, Guenther Zeck, Matthias Bethge
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    NIPS
    2007
    125views Information Technology» more  NIPS 2007»
    A neural network implementing optimal state estimation based on dynamic spike train decoding
    13 years 6 months ago
    A neural network implementing optimal state estimation based on dynamic spike train decoding
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    It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
    Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...
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    NIPS
    2007
    125views Information Technology» more  NIPS 2007»
    Variational inference for Markov jump processes
    13 years 6 months ago
    Variational inference for Markov jump processes
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    Markov jump processes play an important role in a large number of application domains. However, realistic systems are analytically intractable and they have traditionally been ana...
    Manfred Opper, Guido Sanguinetti
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    NIPS
    2007
    148views Information Technology» more  NIPS 2007»
    Regret Minimization in Games with Incomplete Information
    13 years 6 months ago
    Regret Minimization in Games with Incomplete Information
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    Extensive games are a powerful model of multiagent decision-making scenarios with incomplete information. Finding a Nash equilibrium for very large instances of these games has re...
    Martin Zinkevich, Michael Johanson, Michael H. Bow...
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    NIPS
    2007
    147views Information Technology» more  NIPS 2007»
    TrueSkill Through Time: Revisiting the History of Chess
    13 years 6 months ago
    TrueSkill Through Time: Revisiting the History of Chess
    Download  research.microsoft.com
    We extend the Bayesian skill rating system TrueSkill to infer entire time series of skills of players by smoothing through time instead of filtering. The skill of each participat...
    Pierre Dangauthier, Ralf Herbrich, Tom Minka, Thor...
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