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» On the Use of Evidence in Neural Networks
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IWANN
2001
Springer
15 years 11 months ago
Learning Adaptive Parameters with Restricted Genetic Optimization Method
Abstract. Mechanisms for adapting models, filters, regulators and so on to changing properties of a system are of fundamental importance in many modern identification, estimation...
Santiago Garrido, Luis Moreno
IJCNN
2000
IEEE
15 years 11 months ago
Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions
Linear Relational Embedding (LRE) was introduced (Paccanaro and Hinton, 1999) as a means of extracting a distributed representation of concepts from relational data. The original ...
Alberto Paccanaro, Geoffrey E. Hinton
IJCNN
2000
IEEE
15 years 11 months ago
Comparison of a Heuristic Dynamic Programming and a Dual Heuristic Programming Based Adaptive Critics Neurocontroller for a Turb
: This paper presents the design of a neurocontroller for a turbogenerator that augments/replaces the conventional Automatic Voltage Regulator (AVR) and the turbine governor. The n...
Ganesh K. Venayagamoorthy, Ronald G. Harley, Donal...
IWANN
1999
Springer
15 years 11 months ago
Forecasting Financial Time Series through Intrinsic Dimension Estimation and Non-Linear Data Projection
A crucial problem in non-linear time series forecasting is to determine its auto-regressive order, in particular when the prediction method is non-linear. We show in this paper tha...
Michel Verleysen, Eric de Bodt, Amaury Lendasse
ICANN
1997
Springer
15 years 10 months ago
Kernel Principal Component Analysis
A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can e ciently compute principal comp...
Bernhard Schölkopf, Alex J. Smola, Klaus-Robe...