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    NIPS
    2007
    119views Information Technology» more  NIPS 2007»
    On Ranking in Survival Analysis: Bounds on the Concordance Index
    13 years 10 months ago
    On Ranking in Survival Analysis: Bounds on the Concordance Index
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    In this paper, we show that classical survival analysis involving censored data can naturally be cast as a ranking problem. The concordance index (CI), which quantifies the quali...
    Vikas C. Raykar, Harald Steck, Balaji Krishnapuram...
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    NIPS
    2007
    190views Information Technology» more  NIPS 2007»
    Sparse Feature Learning for Deep Belief Networks
    13 years 10 months ago
    Sparse Feature Learning for Deep Belief Networks
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    Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
    Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
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    NIPS
    2007
    190views Information Technology» more  NIPS 2007»
    Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
    13 years 10 months ago
    Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
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    Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
    Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
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    UAI
    2008
    252views Artificial Intelligence» more  UAI 2008»
    Small Sample Inference for Generalization Error in Classification Using the CUD Bound
    13 years 10 months ago
    Small Sample Inference for Generalization Error in Classification Using the CUD Bound
    Download  www.stat.lsa.umich.edu
    Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
    Eric Laber, Susan Murphy
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    SODA
    2007
    ACM
    131views Algorithms» more  SODA 2007»
    On the K-simple shortest paths problem in weighted directed graphs
    13 years 10 months ago
    On the K-simple shortest paths problem in weighted directed graphs
    Download  www.wisdom.weizmann.ac.il
    We obtain the first approximation algorithm for finding the k-simple shortest paths connecting a pair of vertices in a weighted directed graph. Our algorithm is deterministic an...
    Liam Roditty
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