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» Optimizing Local Probability Models for Statistical Parsing
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ICIP
2003
IEEE
16 years 3 months ago
Unsupervised statistical sketching for non-photorealistic rendering models
This paper investigates the use of the Bayesian inference for devising an unsupervised sketch rendering procedure. As likelihood model of this inference, we exploit the recent sta...
Max Mignotte
134
Voted
ACL
2007
15 years 3 months ago
A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing
This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics com...
Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina...
KDD
1995
ACM
182views Data Mining» more  KDD 1995»
15 years 5 months ago
Accelerated Quantification of Bayesian Networks with Incomplete Data
Probabilistic expert systemsbased on Bayesian networks(BNs)require initial specification both a qualitative graphical structure and quantitative assessmentof conditional probabili...
Bo Thiesson
130
Voted
TCOM
2010
141views more  TCOM 2010»
14 years 8 months ago
Mutual Information Statistics and Beamforming Performance Analysis of Optimized LoS MIMO Systems
Abstract--This paper provides a systematic mutual information (MI) and multichannel beamforming (MBF) characterization of optimized multiple-input multiple-output (MIMO) communicat...
Michail Matthaiou, Paul de Kerret, George K. Karag...
119
Voted
IJAR
2010
130views more  IJAR 2010»
15 years 10 days ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki