2924 search results - page 167 / 585 » On the Use of Evidence in Neural Networks |
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SBRN
2000
IEEE
15 years 6 months ago
2000
IEEE
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
102
Voted
TNN
2008
15 years 1 months ago
2008
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
127
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CVPR
1997
IEEE
16 years 3 months ago
1997
IEEE
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
109
Voted
IJCAI
1997
15 years 3 months ago
1997
This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scal...
126
Voted
ICRA
1998
IEEE
15 years 6 months ago
1998
IEEE
Abstract--Manufacturing scheduling is an important but difficult task. In order to effectively solve such combinatorial optimization problems, this paper presents a novel Lagrangia...