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» Probabilistic Inductive Logic Programming
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CCE
2004
13 years 8 months ago
Optimization under uncertainty: state-of-the-art and opportunities
A large number of problems in production planning and scheduling, location, transportation, finance, and engineering design require that decisions be made in the presence of uncer...
Nikolaos V. Sahinidis
ILP
2007
Springer
14 years 2 months ago
Building Relational World Models for Reinforcement Learning
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richa...
APSEC
2005
IEEE
14 years 2 months ago
Analysis of the Suzuki-Kasami Algorithm with the Maude Model Checker
We report on a case study in which the Maude model checker has been used to analyze the Suzuki-Kasami distributed mutual exclusion algorithm with respect to the mutual exclusion p...
Kazuhiro Ogata, Kokichi Futatsugi
ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
14 years 2 months ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...
CIA
2006
Springer
14 years 13 days 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