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ICRA
2005
IEEE
176views Robotics» more  ICRA 2005»
15 years 10 months ago
Auto-supervised learning in the Bayesian Programming Framework
Domestic and real world robotics requires continuous learning of new skills and behaviors to interact with humans. Auto-supervised learning, a compromise between supervised and co...
Pierre Dangauthier, Pierre Bessière, Anne S...
IEEEICCI
2005
IEEE
15 years 10 months ago
An empirical study of programmer learning during incremental software development
The paper presents a case study that investigates programmer learning during incremental program development. Dialog based protocol and protocol analysis are used to explore the l...
Shaochun Xu, Václav Rajlich, Andrian Marcus
ECAL
2005
Springer
15 years 10 months ago
Measuring Diversity in Populations Employing Cultural Learning in Dynamic Environments
Abstract. This paper examines the effect of cultural learning on a population of neural networks. We compare the genotypic and phenotypic diversity of populations employing only p...
Dara Curran, Colm O'Riordan
ERCIMDL
2005
Springer
139views Education» more  ERCIMDL 2005»
15 years 10 months ago
Finding Appropriate Learning Objects: An Empirical Evaluation
: The challenge of finding appropriate learning objects is one of the bottlenecks for end users in Learning Object Repositories (LORs). This paper investigates usability problems o...
Jehad Najjar, Joris Klerkx, Riina Vuorikari, Erik ...
115
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ICANN
2003
Springer
15 years 9 months ago
Optimal Hebbian Learning: A Probabilistic Point of View
Many activity dependent learning rules have been proposed in order to model long-term potentiation (LTP). Our aim is to derive a spike time dependent learning rule from a probabili...
Jean-Pascal Pfister, David Barber, Wulfram Gerstne...