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» A theoretical framework for multiple neural network systems
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IJCNN
2006
IEEE
14 years 3 months ago
Alleviating Catastrophic Forgetting via Multi-Objective Learning
— Handling catastrophic forgetting is an interesting and challenging topic in modeling the memory mechanisms of the human brain using machine learning models. From a more general...
Yaochu Jin, Bernhard Sendhoff
EUSFLAT
2001
125views Fuzzy Logic» more  EUSFLAT 2001»
13 years 10 months ago
Computational intelligence approaches for parametric estimation and feature extraction of power spectral density
This paper reports an early progress of a feasibility study of a computational intelligence approach to the enhancement of the accuracy of flow measurements in the framework of a ...
Da Ruan, Davide Roverso, Paolo F. Fantoni
HICSS
2003
IEEE
95views Biometrics» more  HICSS 2003»
14 years 2 months ago
Knowledge Negotiation in Asynchronous Learning Networks
The negotiation of what is to count as mutually acceptable collaborative knowledge is difficult to conduct when participants cannot interact face-to-face. We review certain relate...
Gerry Stahl
ACMSE
2009
ACM
14 years 1 months ago
Towards policy driven self-configuration of user-centric communication
The convergence of various multimedia communications that includes voice, video and data presents many opportunities for enabling unified communication but paradoxically leads to ...
Paola Boettner, Mansi Gupta, Yali Wu, Andrew A. Al...
CLIMA
2004
13 years 10 months ago
A New Framework for Knowledge Revision of Abductive Agents Through Their Interaction
The aim of this work is the design of a framework for the revision of knowledge in abductive reasoning agents, based on interaction. We address issues such as: how to exploit knowl...
Andrea Bracciali, Paolo Torroni