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GECCO
2003
Springer
268views Optimization» more  GECCO 2003»
15 years 9 months ago
A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...
Abdesselam Bouzerdoum, Rainer Mueller
149
Voted
COORDINATION
2006
Springer
15 years 7 months ago
Stochastic Reasoning About Channel-Based Component Connectors
Abstract. Constraint automata have been used as an operational model for component connectors that coordinate the cooperation and communication of the components by means of a netw...
Christel Baier, Verena Wolf
139
Voted
DAC
2008
ACM
16 years 5 months ago
Stochastic modeling of a thermally-managed multi-core system
Achieving high performance under a peak temperature limit is a first-order concern for VLSI designers. This paper presents a new model of a thermally-managed system, where a stoch...
Hwisung Jung, Peng Rong, Massoud Pedram
CVPR
2005
IEEE
16 years 6 months ago
MosaicShape: Stochastic Region Grouping with Shape Prior
A method that combines shape-based object recognition and image segmentation is proposed for shape retrieval from images. Given a shape prior represented in a multiscale curvature...
Jingbin Wang, Erdan Gu, Margrit Betke
PE
2010
Springer
123views Optimization» more  PE 2010»
14 years 10 months ago
Evaluating fluid semantics for passive stochastic process algebra cooperation
Fluid modelling is a next-generation technique for analysing massive performance models. Passive cooperation is a popular cooperation mechanism frequently used by performance engi...
Richard A. Hayden, Jeremy T. Bradley