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» Approximate Learning of Dynamic Models
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TNN
2008
112views more  TNN 2008»
15 years 6 months ago
Multilayer Perceptrons: Approximation Order and Necessary Number of Hidden Units
Abstract--This paper considers the approximation of sufficiently smooth multivariable functions with a multilayer perceptron (MLP). For a given approximation order explicit formula...
S. Trenn
ISCI
1998
139views more  ISCI 1998»
15 years 6 months ago
A Rough Set Approach to Attribute Generalization in Data Mining
This paper presents a method for updating approximations of a concept incrementally. The results can be used to implement a quasi-incremental algorithm for learning classification...
Chien-Chung Chan
ESWS
2005
Springer
15 years 12 months ago
Semantic-Based Automated Composition of Distributed Learning Objects for Personalized E-Learning
Recent advances in e-learning techonologies and web services make realistic the idea that courseware for personalized e-learning can be built by dynamic composition of distributed ...
Simona Colucci, Tommaso Di Noia, Eugenio Di Sciasc...
AAAI
2012
13 years 8 months ago
Advances in Lifted Importance Sampling
We consider lifted importance sampling (LIS), a previously proposed approximate inference algorithm for statistical relational learning (SRL) models. LIS achieves substantial vari...
Vibhav Gogate, Abhay Kumar Jha, Deepak Venugopal
EDUTAINMENT
2006
Springer
15 years 10 months ago
Dynamic User Modeling for Sketch-Based User Interface
Abstract. This paper presents a strategy of dynamic user modeling for sketchbased user interface. A user model is defined as an incremental decision tree for a specific user. A dra...
Zhengxing Sun, Bin Li, Qiang Wang, Guihuan Feng