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NN
2006
Springer
127views Neural Networks» more  NN 2006»
14 years 9 months ago
The asymptotic equipartition property in reinforcement learning and its relation to return maximization
We discuss an important property called the asymptotic equipartition property on empirical sequences in reinforcement learning. This states that the typical set of empirical seque...
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
AMC
2006
114views more  AMC 2006»
14 years 9 months ago
A multi-objective resource allocation problem in dynamic PERT networks
We develop a multi-objective model for the resource allocation problem in a dynamic PERT network, where the activity durations are exponentially distributed random variables and t...
Amir Azaron, Reza Tavakkoli-Moghaddam
IBPRIA
2005
Springer
15 years 3 months ago
Real-Time Tracking Using Multiple Target Models
Using Comaniciu et al.’s approach as a basis, [9], this paper presents a real-time tracking technique in which a multiple target model is used. The use of a multiple model shall ...
Manuel J. Lucena, José M. Fuertes, Nicolas ...
NJC
2000
169views more  NJC 2000»
14 years 9 months ago
A Type System for Bounded Space and Functional In-Place Update
We show how linear typing can be used to obtain functional programs which modify heap-allocated data structures in place. We present this both as a "design pattern" for ...
Martin Hofmann
TNN
2008
102views more  TNN 2008»
14 years 9 months ago
Robust Synchronization of an Array of Coupled Stochastic Discrete-Time Delayed Neural Networks
Abstract--This paper is concerned with the robust synchronization problem for an array of coupled stochastic discrete-time neural networks with time-varying delay. The individual n...
J. Liang, Z. Wang, Y. Liu, X. Liu