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ENTCS
2006
115views more  ENTCS 2006»
15 years 6 months ago
Analyzing the Uses of a Software Modeling Tool
While a lot of progress has been made in improving analyses and tools that aid software development, less effort has been spent on studying how such tools are commonly used in pra...
Xiaoming Li, Daryl Shannon, Jabari Walker, Sarfraz...
ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
16 years 1 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...
AI
1998
Springer
15 years 11 months ago
A Heuristic Incremental Modeling Approach to Course Timetabling
Abstract. The general timetabling problem is an assignment of activities to xed time intervals, adhering to a prede ned set of resource availabilities. Timetabling problems are di ...
Don Banks, Peter van Beek, Amnon Meisels
IJIT
2004
15 years 8 months ago
Modeling of Pulping of Sugar Maple Using Advanced Neural Network Learning
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...
W. D. Wan Rosli, Z. Zainuddin, R. Lanouette, S. Sa...
MOBIHOC
2010
ACM
15 years 4 months ago
On quality of monitoring for multi-channel wireless infrastructure networks
Passive monitoring utilizing distributed wireless sniffers is an effective technique to monitor activities in wireless infrastructure networks for fault diagnosis, resource manage...
Arun Chhetri, Huy Anh Nguyen, Gabriel Scalosub, Ro...