109 search results - page 13 / 22 » Integrating Inductive Neural Network Learning and Explanatio... |
ICES
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. Vertebrate and most invertebrate organisms interact with their environment through processes of adaptation and learning. Such processes are generally controlled by comple...
AIIA
2001
Springer
15 years 1 months ago
2001
Springer
We present new fingerprint classification algorithms based on two machine learning approaches: support vector machines (SVMs), and recursive neural networks (RNNs). RNNs are traine...
GLVLSI
2005
IEEE
15 years 3 months ago
2005
IEEE
We develop a neural network that learns to separate the nominal from the faulty instances of a circuit in a measurement space. We demonstrate that the required separation boundari...
88
Voted
ICANN
2010
Springer
14 years 10 months ago
2010
Springer
We propose a new approach for reinforcement learning in problems with continuous actions. Actions are sampled by means of a diffusion tree, which generates samples in the continuou...
92
Voted
ESANN
2006
14 years 11 months ago
2006
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...