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» Ensembles of Multi-Instance Neural Networks
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IJCNN
2008
IEEE
14 years 1 months ago
On-line bagging Negative Correlation Learning
— Negative Correlation Learning (NCL) has been showing to outperform other ensemble learning approaches in off-line mode. A key point to the success of NCL is that the learning o...
Fernanda L. Minku, Xin Yao
ICANN
2007
Springer
14 years 1 months ago
Neuronal Multistability Induced by Delay
Abstract. Feedback circuits are important for understanding the emergence of patterns of neural activity. In this contribution we study how a delayed circuit representing a recurre...
Cristina Masoller, M. C. Torrent, Jordi Garc&iacut...
DMIN
2009
144views Data Mining» more  DMIN 2009»
13 years 5 months ago
Fish or Shark - Data Mining Online Poker
In this paper, data mining techniques are used to analyze data gathered from online poker. The study focuses on short-handed Texas Hold'em, and the data sets used contain thou...
Ulf Johansson, Cecilia Sönströd
GECCO
2009
Springer
150views Optimization» more  GECCO 2009»
14 years 2 months ago
Discrete dynamical genetic programming in XCS
A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...
Richard Preen, Larry Bull
IDEAL
2004
Springer
14 years 26 days ago
In-Situ Learning in Multi-net Systems
Abstract. Multiple classifier systems based on neural networks can give improved generalisation performance as compared with single classifier systems. We examine collaboration in ...
Matthew C. Casey, Khurshid Ahmad