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ICANN
2005
Springer
14 years 2 months ago
Smooth Bayesian Kernel Machines
Abstract. In this paper, we consider the possibility of obtaining a kernel machine that is sparse in feature space and smooth in output space. Smooth in output space implies that t...
Rutger W. ter Borg, Léon J. M. Rothkrantz
ACL
2008
13 years 10 months ago
The Role of Positive Feedback in Intelligent Tutoring Systems
The focus of this study is positive feedback in one-on-one tutoring, its computational modeling, and its application to the design of more effective Intelligent Tutoring Systems. ...
Davide Fossati
ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
14 years 29 days ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo
GIS
2002
ACM
13 years 9 months ago
Calibration of stochastic cellular automata: the application to rural-urban land conversions
Despite the recognition of cellular automata (CA) as a exible and powerful tool for urban growth simulation, the calibration of CA had been largely heuristic until recent eVorts to...
Fulong Wu
FDL
2007
IEEE
14 years 1 months ago
Transaction Level Modelling: A reflection on what TLM is and how TLMs may be classified
Transaction-level modelling (TLM) is a poorlyterm, promising a level of abstraction like RTL (register transfer level), where the key feature is a `transaction'. But unlike r...
Mark Burton, James Aldis, Robert Günzel, Wolf...