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SAGA
2009
Springer
15 years 10 months ago
Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies
We propose a generic method for obtaining quickly good upper bounds on the minimal value of a multistage stochastic program. The method is based on the simulation of a feasible dec...
Boris Defourny, Damien Ernst, Louis Wehenkel
142
Voted
TOG
2008
100views more  TOG 2008»
15 years 4 months ago
Interactive procedural street modeling
This paper addresses the problem of interactively modeling large street networks. We introduce a modeling framework that uses tensor fields to guide the generation of a street gra...
Guoning Chen, Gregory Esch, Peter Wonka, Pascal M&...
COMPSAC
2005
IEEE
15 years 9 months ago
Using AOP to Monitor and Administer Software for Grid Computing Environments
Monitoring is a task of collecting measurements that reflect the state of a system. Administration is a collection of tasks for control and manipulation of computer systems. Monito...
Mark Grechanik, Dewayne E. Perry, Don S. Batory
IWVF
2001
Springer
15 years 8 months ago
Grouping Character Shapes by Means of Genetic Programming
In the framework of an evolutionary approach to machine learning, this paper presents the preliminary version of a learning system that uses Genetic Programming as a tool for autom...
Claudio De Stefano, Antonio Della Cioppa, Angelo M...
SI3D
1995
ACM
15 years 7 months ago
Real-Time Programmable Shading
One of the main techniques used by software renderers to produce stunningly realistic images is programmable shading—executing an arbitrarily complex program to compute the colo...
Anselmo Lastra, Steven Molnar, Marc Olano, Yulan W...