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CORR
2006
Springer
76views Education» more  CORR 2006»
13 years 9 months ago
Inconsistent parameter estimation in Markov random fields: Benefits in the computation-limited setting
Consider the problem of joint parameter estimation and prediction in a Markov random field: i.e., the model parameters are estimated on the basis of an initial set of data, and th...
Martin J. Wainwright
IJDMMM
2008
124views more  IJDMMM 2008»
13 years 9 months ago
Completing missing views for multiple sources of web media
: Combining multiple data sources, each with its own features, to achieve optimal inference has received a lot of attention in recent years. In inference from multiple data sources...
Shankara B. Subramanya, Zheshen Wang, Baoxin Li, H...
CN
2007
148views more  CN 2007»
13 years 9 months ago
Using taxonomies for content-based routing with ants
Although the ant metaphor has been successfully applied to routing of data packets both in wireless and fixed networks, little is known yet about its appropriateness for search i...
Elke Michlmayr, Arno Pany, Gerti Kappel
ISCI
2008
124views more  ISCI 2008»
13 years 9 months ago
A weighted rough set based method developed for class imbalance learning
In this paper, we introduce weights into Pawlak rough set model to balance the class distribution of a data set and develop a weighted rough set based method to deal with the clas...
Jinfu Liu, Qinghua Hu, Daren Yu
IJCIA
2006
88views more  IJCIA 2006»
13 years 9 months ago
Multi-Learner Based Recursive Supervised Training
In this paper, we propose the Multi-Learner Based Recursive Supervised Training (MLRT) algorithm which uses the existing framework of recursive task decomposition, by training the...
Laxmi R. Iyer, Kiruthika Ramanathan, Sheng Uei Gua...