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VLDB
2006
ACM
162views Database» more  VLDB 2006»
14 years 7 months ago
Dependency trees in sub-linear time and bounded memory
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
Dan Pelleg, Andrew W. Moore
ICML
2005
IEEE
14 years 8 months ago
Dynamic preferences in multi-criteria reinforcement learning
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
Sriraam Natarajan, Prasad Tadepalli
FOCS
2008
IEEE
14 years 2 months ago
Constant-Time Approximation Algorithms via Local Improvements
We present a technique for transforming classical approximation algorithms into constant-time algorithms that approximate the size of the optimal solution. Our technique is applic...
Huy N. Nguyen, Krzysztof Onak
GECCO
2004
Springer
14 years 1 months ago
Unveiling Optimal Operating Conditions for an Epoxy Polymerization Process Using Multi-objective Evolutionary Computation
The optimization of the epoxy polymerization process involves a number of conflicting objectives and more than twenty decision parameters. In this paper, the problem is treated tr...
Kalyanmoy Deb, Kishalay Mitra, Rinku Dewri, Saptar...
ACSD
2007
IEEE
88views Hardware» more  ACSD 2007»
14 years 1 months ago
Testing the executability of scenarios in general inhibitor nets
In this paper we introduce executions of place/transition Petri nets with weighted inhibitor arcs (PTI-net) as enabled labeled stratified order structures (LSOs) and present a po...
Robert Lorenz, Sebastian Mauser, Robin Bergenthum