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» Learning Behavior Models for Hybrid Timed Systems
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ICMAS
1998
15 years 4 months ago
How to Explore your Opponent's Strategy (almost) Optimally
This work presents a lookahead-based exploration strategy for a model-based learning agent that enables exploration of the opponent's behavior during interaction in a multi-a...
David Carmel, Shaul Markovitch
133
Voted
IIE
2007
105views more  IIE 2007»
15 years 3 months ago
Student-Centered Support Systems to Sustain Logo-Like Learning
Conventional wisdom attributes the lack of effective technology use in classrooms to a shortage of professional development or poorly run professional development. At the same time...
Sylvia Martinez
RTS
2006
176views more  RTS 2006»
15 years 3 months ago
Verifying distributed real-time properties of embedded systems via graph transformations and model checking
Component middleware provides dependable and efficient platforms that support key functional, and quality of service (QoS) needs of distributed real-time embedded (DRE) systems. C...
Gabor Madl, Sherif Abdelwahed, Douglas C. Schmidt
130
Voted
UML
2001
Springer
15 years 7 months ago
Refactoring UML Models
Software developers spend most of their time modifying and maintaining existing products. This is because systems, and consequently their design, are in perpetual evolution before ...
Gerson Sunyé, Damien Pollet, Yves Le Traon,...
CVPR
1999
IEEE
16 years 5 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...