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CIKM
1997
Springer
15 years 10 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
ACL
2006
15 years 7 months ago
Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora
Named Entity recognition (NER) is an important part of many natural language processing tasks. Current approaches often employ machine learning techniques and require supervised d...
Alexandre Klementiev, Dan Roth
ACL
2006
15 years 7 months ago
Semantic Taxonomy Induction from Heterogenous Evidence
We propose a novel algorithm for inducing semantic taxonomies. Previous algorithms for taxonomy induction have typically focused on independent classifiers for discovering new sin...
Rion Snow, Daniel Jurafsky, Andrew Y. Ng
COR
2010
146views more  COR 2010»
15 years 6 months ago
A search space "cartography" for guiding graph coloring heuristics
We present a search space analysis and its application in improving local search algorithms for the graph coloring problem. Using a classical distance measure between colorings, w...
Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz
GIS
2006
ACM
15 years 6 months ago
Efficient integration of road maps
Integration of two road maps is finding a matching between pairs of objects that represent, in the maps, the same realworld road. Several algorithms were proposed in the past for ...
Eliyahu Safra, Yaron Kanza, Yehoshua Sagiv, Yerach...