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» Inductive rule learning on the knowledge level
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ICMLA
2009
13 years 5 months ago
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule
Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...
Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapu...
CIA
2006
Springer
13 years 11 months ago
Market-Inspired Approach to Collaborative Learning
The paper describes a decentralized peer-to-peer multi-agent learning method based on inductive logic programming and knowledge trading. The method uses first-order logic for model...
Jan Tozicka, Michal Jakob, Michal Pechoucek
ISDA
2008
IEEE
14 years 1 months ago
Rough Set Granularity in Mobile Web Pre-caching
Mobile Web pre-caching (Web prefetching and caching) is an explication of performance enhancement and storage limitation of mobile devices. In this paper, we present the granulari...
Sarina Sulaiman, Siti Mariyam Hj. Shamsuddin, Ajit...
JMLR
2008
124views more  JMLR 2008»
13 years 7 months ago
Learning Control Knowledge for Forward Search Planning
A number of today's state-of-the-art planners are based on forward state-space search. The impressive performance can be attributed to progress in computing domain independen...
Sung Wook Yoon, Alan Fern, Robert Givan
SCCC
2000
IEEE
13 years 12 months ago
A Genetic Classifier Tool
Knowledge discovery is the most desirable end product of an enterprise information system. Researches from different areas recognize that a new generation of intelligent tools for...
Aurora T. R. Pozo, Mozart Hasse