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    NIPS
    2007
    178views Information Technology» more  NIPS 2007»
    Supervised Topic Models
    14 years 2 months ago
    Supervised Topic Models
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    We introduce supervised latent Dirichlet allocation (sLDA), a statistical model of labelled documents. The model accommodates a variety of response types. We derive a maximum-like...
    David M. Blei, Jon D. McAuliffe
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    NIPS
    2007
    161views Information Technology» more  NIPS 2007»
    Density Estimation under Independent Similarly Distributed Sampling Assumptions
    14 years 2 months ago
    Density Estimation under Independent Similarly Distributed Sampling Assumptions
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    A method is proposed for semiparametric estimation where parametric and nonparametric criteria are exploited in density estimation and unsupervised learning. This is accomplished ...
    Tony Jebara, Yingbo Song, Kapil Thadani
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    NIPS
    2007
    162views Information Technology» more  NIPS 2007»
    Bundle Methods for Machine Learning
    14 years 2 months ago
    Bundle Methods for Machine Learning
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    We present a globally convergent method for regularized risk minimization problems. Our method applies to Support Vector estimation, regression, Gaussian Processes, and any other ...
    Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le
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    NIPS
    2007
    167views Information Technology» more  NIPS 2007»
    Sparse Overcomplete Latent Variable Decomposition of Counts Data
    14 years 2 months ago
    Sparse Overcomplete Latent Variable Decomposition of Counts Data
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    An important problem in many fields is the analysis of counts data to extract meaningful latent components. Methods like Probabilistic Latent Semantic Analysis (PLSA) and Latent ...
    Madhusudana V. S. Shashanka, Bhiksha Raj, Paris Sm...
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    NIPS
    2007
    189views Information Technology» more  NIPS 2007»
    Learning the structure of manifolds using random projections
    14 years 2 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
    14 years 2 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
    14 years 2 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
    14 years 2 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
    14 years 2 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
    14 years 2 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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