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» Probabilistic algorithms for computing resultants
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128
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EMNLP
2008
15 years 5 months ago
Learning with Probabilistic Features for Improved Pipeline Models
We present a novel learning framework for pipeline models aimed at improving the communication between consecutive stages in a pipeline. Our method exploits the confidence scores ...
Razvan C. Bunescu
133
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SIGDIAL
2010
15 years 1 months ago
Probabilistic Ontology Trees for Belief Tracking in Dialog Systems
We introduce a novel approach for robust belief tracking of user intention within a spoken dialog system. The space of user intentions is modeled by a probabilistic extension of t...
Neville Mehta, Rakesh Gupta, Antoine Raux, Deepak ...
89
Voted
CSDA
2008
65views more  CSDA 2008»
15 years 3 months ago
Improving updating rules in multiplicative algorithms for computing D-optimal designs
In this paper we discuss a class of multiplicative algorithms for computing D-optimal designs for regression models on a finite design space. We prove a monotonicity result for a ...
Holger Dette, Andrey Pepelyshev, Anatoly A. Zhiglj...
140
Voted
CVIU
2008
82views more  CVIU 2008»
15 years 3 months ago
Shape matching and registration by data-driven EM
In this paper, we present an efficient and robust algorithm for shape matching, registration, and detection. The task is to geometrically transform a source shape to fit a target ...
Zhuowen Tu, Songfeng Zheng, Alan L. Yuille
192
Voted
ISTCS
1997
Springer
15 years 8 months ago
An Exact Quantum Polynomial-Time Algorithm for Simon's Problem
We investigate the power of quantum computers when they are required to return an answer that is guaranteed to be correct after a time that is upper-bounded by a polynomial in the...
Gilles Brassard, Peter Høyer