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SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
13 years 9 months ago
Semantic Smoothing for Bayesian Text Classification with Small Training Data
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
UM
2010
Springer
14 years 17 days ago
Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media
In this paper, we focus on the challenge that users face in processing messages on the web posted in participatory media settings, such as blogs. It is desirable to recommend to us...
Aaditeshwar Seth, Jie Zhang, Robin Cohen
IJET
2007
148views more  IJET 2007»
13 years 7 months ago
ENGLISH LANGUAGE TEACHING WITH AN ELECTRONIC CONCEPT MAPPING
—Educational technologies have contributed greatly to the improvement of the process of education. Besides contributing to education directly, the development in new technologies...
Erdogan Tezci, Cihad Demirli, Vahit Sapar
ECAI
2010
Springer
13 years 8 months ago
Bayesian Monte Carlo for the Global Optimization of Expensive Functions
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...
Perry Groot, Adriana Birlutiu, Tom Heskes
ICPR
2010
IEEE
13 years 7 months ago
A Statistical Learning Approach to Spatial Context Exploitation for Semantic Image Analysis
In this paper, a statistical learning approach to spatial context exploitation for semantic image analysis is presented. The proposed method constitutes an extension of the key pa...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...