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FLAIRS
2004
15 years 8 months ago
Automatic Creation of Contextual Knowledge in Simulated Agents
Modeling human behavior can be complicated and expensive. To be able to reduce costs, new methodologies and tools must be developed that automate the creation of human behavior mo...
Hans Fernlund, Avelino J. Gonzalez
NN
2006
Springer
114views Neural Networks» more  NN 2006»
15 years 6 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
16 years 22 days ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle
TACAS
2012
Springer
275views Algorithms» more  TACAS 2012»
14 years 2 months ago
Pushdown Model Checking for Malware Detection
The number of malware is growing extraordinarily fast. Therefore, it is important to have efficient malware detectors. Malware writers try to obfuscate their code by different tec...
Fu Song, Tayssir Touili
ROBOCUP
1998
Springer
128views Robotics» more  ROBOCUP 1998»
15 years 10 months ago
A Multi-Level Constraint-Based Controller for the Dynamo98 Robot Soccer Team
Abstract. Constraint Nets provide a semantic model for modeling hybrid dynamic systems. Controllers are embedded constraint solvers that solve constraints in real-time. A controlle...
Yu Zhang, Alan K. Mackworth