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» State, Event, Time and Diagram in System Modeling
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CI
2005
106views more  CI 2005»
14 years 9 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
WSC
1997
14 years 11 months ago
Visualizing Parallel Simulations in Network Computing Environments: A Case Study
Parallel discrete event simulation systems (PDES) are used to simulate large-scale applications such as modeling telecommunication networks, transportation grids, and battlefield...
Christopher D. Carothers, Brad Topol, Richard Fuji...
IOR
2008
103views more  IOR 2008»
14 years 9 months ago
Portfolio Credit Risk with Extremal Dependence: Asymptotic Analysis and Efficient Simulation
We consider the risk of a portfolio comprised of loans, bonds, and financial instruments that are subject to possible default. In particular, we are interested in performance meas...
Achal Bassamboo, Sandeep Juneja, Assaf J. Zeevi
LATA
2009
Springer
15 years 4 months ago
Rigid Tree Automata
We introduce the class of Rigid Tree Automata (RTA), an extension of standard bottom-up automata on ranked trees with distinguished states called rigid. Rigid states define a rest...
Florent Jacquemard, Francis Klay, Camille Vacher
ICRA
2010
IEEE
128views Robotics» more  ICRA 2010»
14 years 8 months ago
Detecting anomalies in unmanned vehicles using the Mahalanobis distance
The use of unmanned autonomous vehicles is becoming more and more significant in recent years. The fact that the vehicles are unmanned (whether autonomous or not), can lead to gre...
Raz Lin, Eliahu Khalastchi, Gal A. Kaminka