Sciweavers

142 search results - page 2 / 29
» An Experimental Comparison of Symbolic and Connectionist Lea...
Sort
View
114
Voted
IJCAI
1997
15 years 5 months ago
Law Discovery using Neural Networks
This paper proposes a new connectionist approach to numeric law discovery; i.e., neural networks (law-candidates) are trained by using a newly invented second-order learning algor...
Kazumi Saito, Ryohei Nakano
129
Voted
AAAI
2007
15 years 6 months ago
A Connectionist Cognitive Model for Temporal Synchronisation and Learning
The importance of the efforts towards integrating the symbolic and connectionist paradigms of artificial intelligence has been widely recognised. Integration may lead to more e...
Luís C. Lamb, Rafael V. Borges, Artur S. d'...
116
Voted
TROB
2002
134views more  TROB 2002»
15 years 3 months ago
Experimental comparison of some classical iterative learning control algorithms
Mikael Norrlöf, Svante Gunnarsson
120
Voted
ICML
2005
IEEE
16 years 4 months ago
Experimental comparison between bagging and Monte Carlo ensemble classification
Properties of ensemble classification can be studied using the framework of Monte Carlo stochastic algorithms. Within this framework it is also possible to define a new ensemble c...
Roberto Esposito, Lorenza Saitta
ICDM
2007
IEEE
161views Data Mining» more  ICDM 2007»
15 years 10 months ago
Experimental Comparison of Feature Subset Selection Methods
In the field of machine learning and pattern recognition, feature subset selection is an important area, where many approaches have been proposed. In this paper, we choose some fe...
Chulmin Yun, Jihoon Yang