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» Establishing Logical Rules from Empirical Data
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ICML
2004
IEEE
14 years 6 months ago
Learning first-order rules from data with multiple parts: applications on mining chemical compound data
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
IJCAI
2001
13 years 6 months ago
Mining Soft-Matching Rules from Textual Data
Text mining concerns the discovery of knowledge from unstructured textual data. One important task is the discovery of rules that relate specific words and phrases. Although exist...
Un Yong Nahm, Raymond J. Mooney
DSS
2007
127views more  DSS 2007»
13 years 5 months ago
Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
Zan Huang, Jiexun Li, Hua Su, George S. Watts, Hsi...
SLIP
2000
ACM
13 years 9 months ago
Prediction of interconnect fan-out distribution using Rent's rule
Based on Rent’s rule, a well-established empirical relationship, a rigorous derivation of the interconnect fan-out distribution for random logic networks is performed. Through c...
Payman Zarkesh-Ha, Jeffrey A. Davis, William Loh, ...
ML
2006
ACM
143views Machine Learning» more  ML 2006»
13 years 5 months ago
Mathematical applications of inductive logic programming
The application of Inductive Logic Programming to scientific datasets has been highly successful. Such applications have led to breakthroughs in the domain of interest and have dri...
Simon Colton, Stephen Muggleton