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9
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Linear and order statistics combiners for reliable pattern classification
– Kagan Tumer
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1
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Neural Networks for Signal Processing
– Claus Svarer
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1
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Divide and Conquer: Pattern Recognition using Mixtures of Experts
– Steve Waterhouse, Steve Waterhouse
- 1997
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106
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Nonlinear Black-Box Modeling in System Identification: a Unified Overview
– Jonas Sjöberg, Qinghua Zhang, Lennart Ljung, Albert Benveniste, Bernard Deylon, Pierre-yves Glorennec, Hakan Hjalmarsson, Anatoli Juditsky
- 1995
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2
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Learning Machines
– Norbert Jankowski
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47
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Artificial Neural Networks: A Tutorial
– Anil K. Jain, Jianchang Mao, K. Mohiuddin
- 1996
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6
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Nonparametric Regression for Learning Nonlinear Transformations
– Stefan Schaal
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3
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Nonparametric regression for learning
– Stefan Schaal
- 1994
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Extended Kalman Filter Based Pruning Algorithms And Several Aspects Of Neural Network Learning
– John Pui-Fai Sum
- 1998
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15
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Predicting the Stock Market
– Thomas Hellström, Kenneth Holmström
- 1998
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23
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Transferring Previously Learned Back-Propagation Neural Networks To New Learning Tasks
– L. Y. Pratt
- 1993
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2
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Comparison of neural and statistical classifiers -- theory and practice
– Lasse Holmström, Petri Koistinen, Jorma Laaksonen, Erkki Oja
- 1996
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Adaptive Agents for Information Retrieval and Data-Driven Knowledge Discovery
– Jihoon Yang
- 1999
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7
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An Investigation of Feedforward Neural Networks with Respect to the Detection of Spurious Patterns
– Germano Crispim Vasconcelos
- 1995
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Efficient Nonlinear Mapping Using The Multi-Layer Perceptron
– Arunachalam Gopalakrishnan
- 1994
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11
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A Brief History of Connectionism
– David A. Medler
- 1998
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Variations of the two-spiral task
– Stephan K. Chalup, Lukasz Wiklendt
- 2007
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1
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Artificial Neural Networks
– Chung-Ming Kuan
- 2006
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2
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Knowledge acquisition in statistical learning theory
– Shai Fine
- 1999
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