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UAI
2000
15 years 7 months ago
Exploiting Qualitative Knowledge in the Learning of Conditional Probabilities of Bayesian Networks
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
Frank Wittig, Anthony Jameson
COLING
1996
15 years 7 months ago
Bilingual Knowledge Acquisition from Korean-English Parallel Corpus Using Alignment
This paper snggests a method to align Korean-English parallel corpus. '1?he structural dissimilarity between Korean and Indo-European languages requires more flexible measure...
Jung H. Shin, Young S. Han, Key-Sun Choi
ICML
2010
IEEE
15 years 7 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
COMCOM
2010
276views more  COMCOM 2010»
15 years 6 months ago
Adjustable convergecast tree protocol for wireless sensor networks
For data-collection applications in sensor networks, it is important to ensure base station receives a complete picture about the monitored area. Convergecast is an important commu...
Tzung-Shi Chen, Hua-Wen Tsai, Chih-Ping Chu
173
Voted
CORR
2010
Springer
139views Education» more  CORR 2010»
15 years 6 months ago
Fast Overlapping Group Lasso
The group Lasso is an extension of the Lasso for feature selection on (predefined) non-overlapping groups of features. The non-overlapping group structure limits its applicability...
Jun Liu, Jieping Ye