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ICONIP
2004
15 years 8 months ago
Neural-Evolutionary Learning in a Bounded Rationality Scenario
Abstract. This paper presents a neural-evolutionary framework for the simulation of market models in a bounded rationality scenario. Each agent involved in the scenario make use of...
Ricardo Matsumura de Araújo, Luís C....
NIPS
2004
15 years 8 months ago
Unsupervised Variational Bayesian Learning of Nonlinear Models
In this paper we present a framework for using multi-layer perceptron (MLP) networks in nonlinear generative models trained by variational Bayesian learning. The nonlinearity is h...
Antti Honkela, Harri Valpola
UAI
2004
15 years 8 months ago
Robust Probabilistic Inference in Distributed Systems
Probabilistic inference problems arise naturally in distributed systems such as sensor networks and teams of mobile robots. Inference algorithms that use message passing are a nat...
Mark A. Paskin, Carlos Guestrin
WSC
2004
15 years 8 months ago
Localization Using Discrete Event Simulation
In this paper, we focus on the implementation of a localization algorithm for sensor networks using a discrete event simulation (DES) architecture. In this implementation, DES is ...
Baybora Aksoy, Volkan Ustun, Jeffrey S. Smith
WSC
2004
15 years 8 months ago
New Advances and Applications for Marrying Simulation and Optimization
This tutorial will focus on several new real-world applications that have been developed using an integrated set of methods, including Tabu Search, Scatter Search, Mixed Integer P...
Jay April, Marco Better, Fred Glover, James P. Kel...