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NIPS
1998
15 years 7 months ago
Lazy Learning Meets the Recursive Least Squares Algorithm
Lazy learning is a memory-based technique that, once a query is received, extracts a prediction interpolating locally the neighboring examples of the query which are considered re...
Mauro Birattari, Gianluca Bontempi, Hugues Bersini
WSC
1997
15 years 7 months ago
Single Run Optimization Using the Reverse-Simulation Method
An efficient “Simulation Optimization” technique is developed to solve system design problems which can not be expressed in explicit analytical or mathematical models. In part...
Young Hae Lee, Kyoung Jong Park, Yun Bae Kim
AAAI
1990
15 years 7 months ago
An Approach to Reasoning About Continuous Change for Applications in Planning
There are many planning applications that require an agent to coordinate its activities with processes that change continuously over time. Several proposals have been made for com...
Thomas Dean, Greg Siegle
SLP
1989
105views more  SLP 1989»
15 years 7 months ago
Automatic Ordering of Subgoals - A Machine Learning Approach
This paper describes a learning system, LASSY1, which explores domains represented by Prolog databases, and use its acquired knowledge to increase the efficiency of a Prolog inter...
Shaul Markovitch, Paul D. Scott
ATAL
2010
Springer
15 years 7 months ago
Using geometric diffusions for recognition-primed multi-agent decision making
Several areas of multi-agent research, such as large-scale agent organization and experience-based decision making, demand novel perspectives and efficient approaches for multisca...
Xiaocong Fan, Meng Su