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WSC
2001
13 years 9 months ago
Accounting for input model and parameter uncertainty in simulation
Taking into account input-model, input-parameter, and stochastic uncertainties inherent in many simulations, our Bayesian approach to input modeling yields valid point and confide...
Faker Zouaoui, James R. Wilson
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
14 years 28 days ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
SC
1991
ACM
13 years 11 months ago
Alleviation of tree saturation in multistage interconnection networks
This paper presents an examination of two distinct but complementary extensions of previous work on hot spot contention in multistage interconnection networks. The first extensio...
Matthew K. Farrens, Brad Wetmore, Allison Woodruff
ICPR
2000
IEEE
14 years 8 months ago
Tandem Fusion of Nearest Neighbor Editing and Condensing Algorithms - Data Dimensionality Effects
In this paper, the effect of the dimensionality of data sets on the exploitation of synergy among known nearest neighbor (NN) editing and condensing tools is analyzed using a synt...
Belur V. Dasarathy, José Salvador Sá...
IROS
2009
IEEE
180views Robotics» more  IROS 2009»
14 years 2 months ago
Robot Jenga: Autonomous and strategic block extraction
Abstract— This paper describes our successful implementation of a robot that autonomously and strategically removes multiple blocks from an unstable Jenga tower. We present an in...
Jiuguang Wang, Philip Rogers, Lonnie Parker, Dougl...