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UAI
1997
13 years 9 months ago
Object-Oriented Bayesian Networks
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Daphne Koller, Avi Pfeffer
AAAI
1996
13 years 9 months ago
Rewarding Behaviors
Markov decision processes (MDPs) are a very popular tool for decision theoretic planning (DTP), partly because of the welldeveloped, expressive theory that includes effective solu...
Fahiem Bacchus, Craig Boutilier, Adam J. Grove
TPCD
1994
157views Hardware» more  TPCD 1994»
13 years 9 months ago
Non-Restoring Integer Square Root: A Case Study in Design by Principled Optimization
Theorem proving techniques are particularly well suited for reasoning about arithmetic above the bit level and for relating di erent f abstraction. In this paper we show how a non-...
John W. O'Leary, Miriam Leeser, Jason Hickey, Mark...
APVIS
2009
13 years 9 months ago
TugGraph: Path-preserving hierarchies for browsing proximity and paths in graphs
Many graph visualization systems use graph hierarchies to organize a large input graph into logical components. These approaches detect features globally in the data and place the...
Daniel Archambault, Tamara Munzner, David Auber
GECCO
2008
Springer
201views Optimization» more  GECCO 2008»
13 years 9 months ago
Advanced techniques for the creation and propagation of modules in cartesian genetic programming
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
Paul Kaufmann, Marco Platzner