62 search results - page 4 / 13 » Convergence analysis of convex incremental neural networks |
130
Voted
MP
2010
15 years 9 days ago
2010
Convex optimization problems arising in applications, possibly as approximations of intractable problems, are often structured and large scale. When the data are noisy, it is of i...
96
Voted
NN
2006
Springer
15 years 1 months ago
2006
Springer
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...
112
Voted
AAAI
1996
15 years 3 months ago
1996
Constructive learning algorithms offer an attractive approach for the incremental construction of near-minimal neural-network architectures for pattern classification. They help ov...
113
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AIIA
2001
Springer
15 years 6 months ago
2001
Springer
This paper presents a novel method for wide coverage parsing using an incremental strategy, which is psycholinguistically motivated. A recursive neural network is trained on treeba...
117
Voted
ISNN
2005
Springer
15 years 7 months ago
2005
Springer
Recently, a mathematical proof is obtained in (Liu, Chiu, Xu, 2004) on the so called one-bit-matching conjecture that all the sources can be separated as long as there is an one-to...