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EUROCAST
2007
Springer
14 years 4 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
EUROPAR
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. With the prevalence of multi-core processors and cloud computing, the server consolidation using virtualization has increasingly expanded its territory, and the degree of...
SPAA
1995
ACM
14 years 1 months ago
1995
ACM
For years, the computation rate of processors has been much faster than the access rate of memory banks, and this divergence in speeds has been constantly increasing in recent yea...
MEDINFO
2007
13 years 11 months ago
2007
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
EOR
2006
13 years 10 months ago
2006
In this paper, we develop an acyclic network of queues for the design of a dynamic flow shop, where each service station represents a machine. The orders arrive at the input stati...