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BMCBI
2010
147views more  BMCBI 2010»
15 years 6 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
UAI
1993
15 years 8 months ago
Using Causal Information and Local Measures to Learn Bayesian Networks
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
Wai Lam, Fahiem Bacchus
CIKM
2005
Springer
16 years 2 days ago
Mining officially unrecognized side effects of drugs by combining web search and machine learning
We consider the problem of finding officially unrecognized side effects of drugs. By submitting queries to the Web involving a given drug name, it is possible to retrieve pages co...
Carlo Curino, Yuanyuan Jia, Bruce Lambert, Patrici...
CIKM
1999
Springer
15 years 11 months ago
Performance and Implications of Semantic Indexing in a Distributed Environment
A research prototype is presented for semantic indexing and retrieval in Information Retrieval. The prototype is motivated by a desire to provide a more efficient and effective in...
Conrad T. K. Chang, Bruce R. Schatz
MM
2005
ACM
164views Multimedia» more  MM 2005»
16 years 5 days ago
Automatic discovery of query-class-dependent models for multimodal search
We develop a framework for the automatic discovery of query classes for query-class-dependent search models in multimodal retrieval. The framework automatically discovers useful q...
Lyndon S. Kennedy, Apostol Natsev, Shih-Fu Chang