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» Entropy estimation using the principle of maximum entropy
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VLSISP
1998
111views more  VLSISP 1998»
15 years 5 days ago
Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
Yue Wang, Tülay Adali, Chi-Ming Lau, Sun-Yuan...
84
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TIT
2002
72views more  TIT 2002»
15 years 4 days ago
Entanglement-assisted capacity of a quantum channel and the reverse Shannon theorem
The entanglement-assisted classical capacity of a noisy quantum channel ( ) is the amount of information per channel use that can be sent over the channel in the limit of many uses...
Charles H. Bennett, Peter W. Shor, John A. Smolin,...
NIPS
1998
15 years 1 months ago
An Entropic Estimator for Structure Discovery
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
92
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ACL
2007
15 years 2 months ago
Guiding Statistical Word Alignment Models With Prior Knowledge
We present a general framework to incorporate prior knowledge such as heuristics or linguistic features in statistical generative word alignment models. Prior knowledge plays a ro...
Yonggang Deng, Yuqing Gao
85
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FLAIRS
2003
15 years 1 months ago
Belief Revision and Information Fusion in a Probabilistic Environment
This paper presents new methods for probabilistic belief revision and information fusion. By making use of the principles of optimum entropy (ME-principles), we define a generali...
Gabriele Kern-Isberner, Wilhelm Rödder