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» Learning Behavior Models for Hybrid Timed Systems
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IPPS
2003
IEEE
15 years 9 months ago
Homeostatic and Tendency-Based CPU Load Predictions
The dynamic nature of a resource-sharing environment means that applications must be able to adapt their behavior in response to changes in system status. Predictions of future sy...
Lingyun Yang, Ian T. Foster, Jennifer M. Schopf
JAIR
2011
144views more  JAIR 2011»
14 years 11 months ago
Non-Deterministic Policies in Markovian Decision Processes
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
Mahdi Milani Fard, Joelle Pineau
ML
2007
ACM
130views Machine Learning» more  ML 2007»
15 years 3 months ago
Interactive learning of node selecting tree transducer
We develop new algorithms for learning monadic node selection queries in unranked trees from annotated examples, and apply them to visually interactive Web information extraction. ...
Julien Carme, Rémi Gilleron, Aurélie...
IROS
2006
IEEE
107views Robotics» more  IROS 2006»
15 years 10 months ago
Learning Sensory-Motor Maps for Redundant Robots
— Humanoid robots are routinely engaged in tasks requiring the coordination between multiple degrees of freedom and sensory inputs, often achieved through the use of sensorymotor...
Manuel Lopes, José Santos-Victor
CCS
2005
ACM
15 years 9 months ago
A rewriting-based inference system for the NRL protocol analyzer: grammar generation
The NRL Protocol Analyzer (NPA) is a tool for the formal specification and analysis of cryptographic protocols that has been used with great effect on a number of complex real-l...
Santiago Escobar, Catherine Meadows, José M...