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» Entropy estimation using the principle of maximum entropy
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LREC
2008
131views Education» more  LREC 2008»
13 years 10 months ago
Learning Morphology with Morfette
Morfette is a modular, data-driven, probabilistic system which learns to perform joint morphological tagging and lemmatization from morphologically annotated corpora. The system i...
Grzegorz Chrupala, Georgiana Dinu, Josef van Genab...
EMNLP
2004
13 years 10 months ago
A New Approach for English-Chinese Named Entity Alignment
Traditional word alignment approaches cannot come up with satisfactory results for Named Entities. In this paper, we propose a novel approach using a maximum entropy model for nam...
Donghui Feng, Yajuan Lü, Ming Zhou
ICIP
2005
IEEE
14 years 10 months ago
Multi-step active object tracking with entropy based optimal actions using the sequential Kalman filter
We describe an enhanced method for the selection of optimal sensor actions in a probabilistic state estimation framework. We apply this to the selection of optimal focal lengths f...
Benjamin Deutsch, Heinrich Niemann, Joachim Denzle...
DBPL
2009
Springer
144views Database» more  DBPL 2009»
14 years 3 months ago
General Database Statistics Using Entropy Maximization
Abstract. We propose a framework in which query sizes can be estimated from arbitrary statistical assertions on the data. In its most general form, a statistical assertion states t...
Raghav Kaushik, Christopher Ré, Dan Suciu
COCOON
2005
Springer
14 years 2 months ago
Randomized Quicksort and the Entropy of the Random Source
Abstract. The worst-case complexity of an implementation of Quicksort depends on the random number generator that is used to select the pivot elements. In this paper we estimate th...
Beatrice List, Markus Maucher, Uwe Schöning, ...