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» Neural methods for non-standard data
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103
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ESANN
2000
15 years 3 months ago
The K.U.Leuven competition data: a challenge for advanced neural network techniques
In this paper we shortly discuss the K.U. Leuven time-series prediction competition, which has been held in the framework of the International Workshop on Advanced Black-Box Techni...
Johan A. K. Suykens, Joos Vandewalle
120
Voted
ICANN
2010
Springer
15 years 13 days ago
Autonomous Generation of Internal Representations for Associative Learning
In this contribution, we explore the possibilities of learning in large-scale, multimodal processing systems operating under real-world conditions. Using an instance of a large-sca...
Michaël Garcia Ortiz, Benjamin Dittes, Jannik...
114
Voted
JCIT
2008
131views more  JCIT 2008»
15 years 1 months ago
Intelligent Tutoring System: Predicting Students Results Using Neural Networks
In this paper we propose methods to utilize Artificial Neural Networks to obtain knowledge for the management of educational resources. The final evaluations provide us a model th...
E. R. Naganathan, R. Venkatesh, N. Uma Maheswari
134
Voted
NIPS
2001
15 years 3 months ago
Speech Recognition with Missing Data using Recurrent Neural Nets
In the `missing data' approach to improving the robustness of automatic speech recognition to added noise, an initial process identifies spectraltemporal regions which are do...
S. Parveen, P. Green
ESANN
2008
15 years 3 months ago
Learning Data Representations with Sparse Coding Neural Gas
Abstract. We consider the problem of learning an unknown (overcomplete) basis from an unknown sparse linear combination. Introducing the "sparse coding neural gas" algori...
Kai Labusch, Erhardt Barth, Thomas Martinetz