David William Pearson

14 papers C 1Misc 1Journal 6Unranked 6
YearRankTypeTitle / Venue / Authors
2005 — conf
Représentation Dynamique de Documents pour une Recherche Documentaire Intelligente.
CORIA
Rachid Arezki, Pascal Poncelet, Gérard Dray, David William Pearson
2004 Misc conf
Information Retrieval Model Based on User Profile.
AIMSA
Rachid Arezki, Pascal Poncelet, Gérard Dray, David William Pearson
2004 C conf
LUCI: A Personalization Documentary System Based on the Analysis of the History of the User's Actions.
FQAS
Rachid Arezki, Abdenour Mokrane, Gérard Dray, Pascal Poncelet, David William Pearson
2004 — conf
Modélisation dynamique et temporelle de l'utilisateur pour un filtrage personnalisé de documents textuels.
EGC
Rachid Arezki, Abdenour Mokrane, Gérard Dray, Pascal Poncelet, David William Pearson
2004 — conf
Web Information Retrieval Based on User Profile.
AH
Rachid Arezki, Pascal Poncelet, Gérard Dray, David William Pearson
2003 — conf
Vertical Vector Fields and Neural Networks: An Application in Atmospheric Pollution Forecasting.
ICANNGA
David William Pearson, Mireille Batton-Hubert, Gérard Dray
2002 J jnl
Modelling enterprise networks: A master equation approach.
Eur. J. Oper. Res.
David William Pearson, P. Albert, B. Besombes, Marie-Reine Boudarel, Eric Marcon, G. Mnemoi
2001 J jnl
Pair Interactions: Real and Perceived Attitudes.
J. Artif. Soc. Soc. Simul.
David William Pearson, Marie-Reine Boudarel
2000 J jnl
Modelling and analysis of ozone episodes.
Environ. Model. Softw.
N. Peton, Gérard Dray, David William Pearson, M. Mesbah, B. Vuillot
1999 — conf
Differential Inclusions Mapping Simplexes to Simplexes.
ICANNGA
David William Pearson, Gérard Dray
1997 — conf
Fuzzy Vector Bundles for Classification via Neural Networks.
ICANNGA
David William Pearson, Gérard Dray, N. Peton
1996 J jnl
Local approximation of control systems using artificial neural networks.
Neurocomputing
David William Pearson
1995 J jnl
Hopfield networks and symmetry groups.
Neurocomputing
David William Pearson
1995 J jnl
Linear systems equivalent to artificial neural networks via Lie theory.
Neurocomputing
David William Pearson