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    TREC
    2004
    160views Information Technology» more  TREC 2004»
    Can We Get A Better Retrieval Function From Machine?
    13 years 11 months ago
    Can We Get A Better Retrieval Function From Machine?
    Download  trec.nist.gov
    The quality of an information retrieval system heavily depends on its retrieval function, which returns a similarity measurement between the query and each document in the collect...
    Weiguo Fan, Wensi Xi, Edward A. Fox, Li Wang
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    ECIS
    2000
    111views Information Technology» more  ECIS 2000»
    Trust in Electronic Learning and Teaching Relationships: The Case of WINFO-Line
    13 years 11 months ago
    Trust in Electronic Learning and Teaching Relationships: The Case of WINFO-Line
    Download  is2.lse.ac.uk
    Electronic relationships in the context of electronic commerce and especially in the context of electronic learning and teaching are on the rise. However, besides the well known te...
    Harald F. O. von Kortzfleisch, Udo Winand
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    NIPS
    2000
    128views Information Technology» more  NIPS 2000»
    Learning Continuous Distributions: Simulations With Field Theoretic Priors
    13 years 11 months ago
    Learning Continuous Distributions: Simulations With Field Theoretic Priors
    Download  www.menem.com
    Learning of a smooth but nonparametric probability density can be regularized using methods of Quantum Field Theory. We implement a field theoretic prior numerically, test its eff...
    Ilya Nemenman, William Bialek
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    NIPS
    1994
    125views Information Technology» more  NIPS 1994»
    Using a neural net to instantiate a deformable model
    13 years 11 months ago
    Using a neural net to instantiate a deformable model
    Download  www.cs.toronto.edu
    Deformable models are an attractive approach to recognizing nonrigid objects which have considerable within class variability. However, there are severe search problems associated...
    Christopher K. I. Williams, Michael Revow, Geoffre...
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    AIPS
    2009
    112views Artificial Intelligence» more  AIPS 2009»
    Inference and Decomposition in Planning Using Causal Consistent Chains
    13 years 11 months ago
    Inference and Decomposition in Planning Using Causal Consistent Chains
    Download  www.tecn.upf.es
    Current state-of-the-art planners solve problems, easy and hard alike, by search, expanding hundreds or thousands of nodes. Yet, given the ability of people to solve easy problems...
    Nir Lipovetzky, Hector Geffner
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