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ENGL
2007
204views more  ENGL 2007»
15 years 1 months ago
Long-Term Prediction, Chaos and Artificial Neural Networks. Where is the Meeting Point?
—This paper presents the advances of a research using a combination of recurrent and feed-forward neural networks for long term prediction of chaotic time series. It is known tha...
Pilar Gómez-Gil
IDEAL
2000
Springer
15 years 4 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
RECOMB
2010
Springer
15 years 8 months ago
Incremental Signaling Pathway Modeling by Data Integration
Constructing quantitative dynamic models of signaling pathways is an important task for computational systems biology. Pathway model construction is often an inherently incremental...
Geoffrey Koh, David Hsu, P. S. Thiagarajan
IAT
2007
IEEE
15 years 7 months ago
Analysis of Multi-Actor Policy Contexts Using Perception Graphs
Policy making is a multi-actor process: it involves a variety of actors, each trying to further their own interests. How these actors decide and act largely depends on the way the...
Pieter W. G. Bots
BIRTHDAY
2003
Springer
15 years 6 months ago
A Formal Basis for Reasoning on Programmable QoS
Abstract. The explicit management of Quality of Service (QoS) of network connectivity, such as, e.g., working cost, transaction support, and security, is a key requirement for the ...
Rocco De Nicola, Gian Luigi Ferrari, Ugo Montanari...