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ATAL
2007
Springer
15 years 4 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
PPSN
1990
Springer
15 years 1 months ago
Feature Construction for Back-Propagation
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
Selwyn Piramuthu
EUROSYS
2009
ACM
15 years 7 months ago
Pointless tainting?: evaluating the practicality of pointer tainting
This paper evaluates pointer tainting, an incarnation of Dynamic Information Flow Tracking (DIFT), which has recently become an important technique in system security. Pointer tai...
Asia Slowinska, Herbert Bos
INFOCOM
2000
IEEE
15 years 2 months ago
Fair Bandwidth Sharing Among Virtual Networks: A Capacity Resizing Approach
Abstract—Virtual Private Networks (VPN) and link sharing are cost effective way of realizing corporate intranets. Corporate intranets will increasingly have to provide Integrated...
Rahul Garg, Huzur Saran
SNPD
2008
14 years 11 months ago
An Approach to Modeling Software Safety
: Software for safety-critical systems has to deal with the hazards identified by safety analysis in order to make the system safe, risk-free and fail-safe. Software safety is a co...
M. Ben Swarup, P. Seetha Ramaiah