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ICML
1999
IEEE
14 years 1 months ago
Learning Hierarchical Performance Knowledge by Observation
Developing automated agents that intelligently perform complex real world tasks is time consuming and expensive. The most expensive part of developing these intelligent task perfo...
Michael van Lent, John E. Laird
APN
2006
Springer
14 years 14 days ago
On the Integration of UML and Petri Nets in Software Development
Abstract. Software performance engineering deals with the consideration of quantitative analysis of the behaviour of software systems from the early development phases in the life ...
Javier Campos, José Merseguer
IJPRAI
2000
83views more  IJPRAI 2000»
13 years 8 months ago
Practical Issues in Modeling Large Diagnostic Systems with Multiply Sectioned Bayesian Networks
As Bayesian networks become widely accepted as a normative formalism for diagnosis based on probabilistic knowledge, they are applied to increasingly larger problem domains. These...
Yanping Xiang, Kristian G. Olesen, Finn Verner Jen...
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
14 years 2 months ago
A framework for learning coordinated behavior
We sketch a framework for learning structured coordinated behavior, specifically the tactical behavior of Experimental Unmanned Vehicles (XUVs). We conceptualize an XUV unit as a ...
Albert C. Esterline, Chafic BouSaba, Abdollah Homa...
ALT
2011
Springer
12 years 8 months ago
On the Expressive Power of Deep Architectures
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
Yoshua Bengio, Olivier Delalleau