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SIGCSE
2000
ACM
91views Education» more  SIGCSE 2000»
14 years 1 months ago
Machine learning in the liberal arts curriculum
Machine learning is typically considered a graduate-level course with an artificial intelligence course as a prerequisite. However, it does not need to be positioned this way, and...
Clare Bates Congdon
ECTEL
2007
Springer
14 years 3 months ago
Service-oriented Knowledge Architectures - Integrating Learning and Business Information Systems
This paper presents a dissertation project on business-integrated, service-oriented learning architectures. The isolation of corporate learning management from core business functi...
Katrina Leyking
ICML
2006
IEEE
14 years 9 months ago
Relational temporal difference learning
We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...
Nima Asgharbeygi, David J. Stracuzzi, Pat Langley
ITSSA
2006
109views more  ITSSA 2006»
13 years 9 months ago
Gene Expression Analysis in Multi-Agent Environment
Abstract. This paper presents a multi-agent approach to gene expression analysis and illustrates the working steps using real dataset produced from a microarray experiment. The ana...
H. C. Lam, M. Vazquez, B. Juneja, Scott C. Fahrenk...
CORR
2000
Springer
92views Education» more  CORR 2000»
13 years 8 months ago
Predicting the expected behavior of agents that learn about agents: the CLRI framework
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
José M. Vidal, Edmund H. Durfee