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ANOR
2005
81views more  ANOR 2005»
15 years 6 months ago
Managing Stochastic, Finite Capacity, Multi-Project Systems through the Cross-Entropy Methodology
This paper addresses the problem of loading a finite capacity, stochastic (random) and dynamic multi-project system. The system is controlled by keeping a constant number of projec...
Izack Cohen, Boaz Golany, Avraham Shtub
RTAS
2011
IEEE
14 years 9 months ago
Deterministic and Stochastic QoS Provision for Real-Time Control Systems
—In this paper, we propose two adaptive scheduling approaches to support real-time control applications with highly varying computation times. The use of a resource reservation s...
Daniele Fontanelli, Luigi Palopoli, Luca Greco
JAIR
2007
127views more  JAIR 2007»
15 years 6 months ago
Learning Symbolic Models of Stochastic Domains
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack ...
ISNN
2007
Springer
16 years 8 days ago
Neural Networks Training with Optimal Bounded Ellipsoid Algorithm
Abstract. Compared to normal learning algorithms, for example backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some better properties, such as faster convergence,...
José de Jesús Rubio, Wen Yu
IJCNN
2006
IEEE
16 years 5 days ago
A Very Small Chaotic Neural Net
— Previously we have shown that chaos can arise in networks of physically realistic neurons [1], [2]. Those networks contain a moderate to large number of units connected in a sp...
Carlos Lourenco