498 search results - page 28 / 100 » Training Neural Networks with GA Hybrid Algorithms |
109
click to vote
ECAI
1998
Springer
15 years 6 months ago
1998
Springer
This paper presents a neural network approach to the problem of nding the dialogue act for a given utterance. So far only symbolic, decision tree and statistical approaches were ut...
127
click to vote
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...
113
click to vote
AAAI
2004
15 years 3 months ago
2004
Neural-symbolic systems are hybrid systems that integrate symbolic logic and neural networks. The goal of neural-symbolic integration is to benefit from the combination of feature...
109
click to vote
EVOW
2007
Springer
15 years 8 months ago
2007
Springer
This paper proposes a neural network based approach for solving the resource discovery problem in Peer to Peer (P2P) networks and an Adaptive Global Local Memetic Algorithm (AGLMA)...
141
click to vote
AIA
2006
15 years 3 months ago
2006
A system based on a neural network framework is considered. We used two neural networks, an Elman network [1][2] and a Kohonen (concurrent) network [3], for a categorization task....