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» Neural Dynamics with Stochasticity
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NPL
2011
14 years 9 months ago
A Neural Network Scheme for Long-Term Forecasting of Chaotic Time Series
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
Pilar Gómez-Gil, Juan Manuel Ramírez...
ECCV
2004
Springer
16 years 8 months ago
Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Inherent Limitations
Abstract. A dynamic visual search framework based mainly on innerscene similarity is proposed. Algorithms as well as measures quantifying the difficulty of search tasks are suggest...
Tamar Avraham, Michael Lindenbaum
ECCB
2003
IEEE
15 years 11 months ago
Gene networks inference using dynamic Bayesian networks
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
Bruno-Edouard Perrin, Liva Ralaivola, Aurél...
TC
2002
15 years 5 months ago
Dynamic Power Management for Nonstationary Service Requests
Dynamic Power Management (DPM) is a design methodology aiming at reducing power consumption of electronic systems by performing selective shutdown of idle system resources. The eff...
Eui-Young Chung, Luca Benini, Alessandro Bogliolo,...
ICASSP
2009
IEEE
15 years 4 months ago
Spoken language interpretation: On the use of dynamic Bayesian networks for semantic composition
In the context of spoken language interpretation, this paper introduces a stochastic approach to infer and compose semantic structures. Semantic frame structures are directly deri...
Marie-Jean Meurs, Fabrice Lefevre, Renato de Mori