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AAAI
1996
15 years 18 days ago
Sequential Inductive Learning
This article advocates a new model for inductive learning. Called sequential induction, it helps bridge classical fixed-sample learning techniques (which are efficient but difficu...
Jonathan Gratch
AAAI
1996
15 years 18 days ago
Monitoring the Progress of Anytime Problem-Solving
Anytime algorithms offer a tradeoff between solution quality and computation time that has proved useful in applying artificial intelligence techniques to time-critical problems. ...
Eric A. Hansen, Shlomo Zilberstein
AAAI
1990
15 years 13 days ago
Very Fast Decision Table Execution of Propositional Expert Systems
A formal equivalence between propositional expert systems and decision tables is proved, and a practicable procedure given to perform the transformation between propositional expe...
Robert M. Colomb, Charles Y. C. Chung
CIIA
2009
15 years 11 days ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali
JUCS
2008
159views more  JUCS 2008»
14 years 11 months ago
Two Step Swarm Intelligence to Solve the Feature Selection Problem
: In this paper we propose a new approach to Swarm Intelligence called Two-Step Swarm Intelligence. The basic idea is to split the heuristic search performed by agents into two sta...
Yudel Gómez, Rafael Bello, Amilkar Puris, M...