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» On the Use of Evidence in Neural Networks
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ICANN
2009
Springer
15 years 8 months ago
Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning
Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...
Faustino J. Gomez, Julian Togelius, Jürgen Sc...
IJCNN
2008
IEEE
15 years 8 months ago
Knowledge representation and acquisition for large-scale semantic memory
Abstract—Acquisition and representation of semantic concepts is a necessary requirement for the understanding of natural languages by cognitive systems. Word games provide an int...
Julian Szymanski, Wlodzislaw Duch
100
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IJCNN
2008
IEEE
15 years 8 months ago
Multifractal feature vectors for Brain-Computer interfaces
—This article introduces a new feature vector extraction for EEG signals using multifractal analysis. The validity of the approach is asserted on real data sets from the BCI comp...
Nicolas Brodu
IJCNN
2008
IEEE
15 years 8 months ago
Learning adaptive subject-independent P300 models for EEG-based brain-computer interfaces
Abstract— This paper proposes an approach to learn subjectindependent P300 models for EEG-based brain-computer interfaces. The P300 models are first learned using a pool of exis...
Shijian Lu, Cuntai Guan, Haihong Zhang
IJCNN
2008
IEEE
15 years 8 months ago
Semi-supervised nearest neighbor editing
—This paper proposes a novel method for data editing. The goal of data editing in instance-based learning is to remove instances from a training set in order to increase the accu...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Sungyoun...