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COLING
2010
14 years 4 months ago
Two Methods for Extending Hierarchical Rules from the Bilingual Chart Parsing
This paper studies two methods for training hierarchical MT rules independently of word alignments. Bilingual chart parsing and EM algorithm are used to train bitext correspondenc...
Martin Cmejrek, Bowen Zhou
AUSAI
2006
Springer
15 years 1 months ago
Lazy Learning for Improving Ranking of Decision Trees
Decision tree-based probability estimation has received great attention because accurate probability estimation can possibly improve classification accuracy and probability-based r...
Han Liang, Yuhong Yan
ICONIP
2009
14 years 7 months ago
Probabilistic Combination of Multiple Evidence
In pattern recognition systems, data fusion is an important issue and evidence theory is one such method that has been successful. Many researchers have proposed different rules fo...
Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop...
69
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ENTCS
2007
123views more  ENTCS 2007»
14 years 9 months ago
Labelled Markov Processes as Generalised Stochastic Relations
Labelled Markov processes (LMPs) are labelled transition systems in which each transition has an associated probability. In this paper we present a universal LMP as the spectrum o...
Michael W. Mislove, Dusko Pavlovic, James Worrell
CVPR
2006
IEEE
15 years 3 months ago
New Method of Probability Density Estimation with Application to Mutual Information Based Image Registration
We present a new, robust and computationally efficient method for estimating the probability density of the intensity values in an image. Our approach makes use of a continuous r...
Ajit Rajwade, Arunava Banerjee, Anand Rangarajan