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    IJCAI
    2003
    173views Artificial Intelligence» more  IJCAI 2003»
    A Planning Algorithm for Predictive State Representations
    15 years 1 months ago
    A Planning Algorithm for Predictive State Representations
    Download  dli.iiit.ac.in
    We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
    Masoumeh T. Izadi, Doina Precup
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    UAI
    2003
    172views Artificial Intelligence» more  UAI 2003»
    On the Convergence of Bound Optimization Algorithms
    15 years 1 months ago
    On the Convergence of Bound Optimization Algorithms
    Download  cs.nyu.edu
    Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
    Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
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    VCIP
    2003
    147views Communications» more  VCIP 2003»
    An objective method for combining multiple subjective data sets
    15 years 1 months ago
    An objective method for combining multiple subjective data sets
    Download  www.its.bldrdoc.gov
    International recommendations for subjective video quality assessment (e.g., ITU-R BT.500-11) include specifications for how to perform many different types of subjective tests. I...
    Margaret H. Pinson, Stephen Wolf
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    ICISC
    2000
    126views Cryptology» more  ICISC 2000»
    Cryptographic Applications of Sparse Polynomials over Finite Rings
    15 years 1 months ago
    Cryptographic Applications of Sparse Polynomials over Finite Rings
    Download  www.math.missouri.edu
    Abstract. This paper gives new examples that exploit the idea of using sparse polynomials with restricted coefficients over a finite ring for designing fast, reliable cryptosystems...
    William D. Banks, Daniel Lieman, Igor Shparlinski,...
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    NIPS
    1998
    102views Information Technology» more  NIPS 1998»
    An Entropic Estimator for Structure Discovery
    15 years 1 months ago
    An Entropic Estimator for Structure Discovery
    Download  www.merl.com
    We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
    Matthew Brand
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