481 search results - page 23 / 97 » Sequential Instance-Based Learning |
ESANN
2006
13 years 9 months ago
2006
The training of Emergent Self-organizing Maps (ESOM ) with large datasets can be a computationally demanding task. Batch learning may be used to speed up training. It is demonstrat...
ICCD
2005
IEEE
14 years 4 months ago
2005
IEEE
In this paper, we make two major contributions: First, to enhance Boolean learning, we propose a new class of logic implications called extended forward implications. Using a nove...
PRIB
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
VTS
2000
IEEE
14 years 2 days ago
2000
IEEE
We propose a novel BIST technique for non-scan sequential circuits which does not modify the circuit under test. It uses a learning algorithm to build a hardware test sequence gen...
AAAI
2004
13 years 9 months ago
2004
The aim of this paper is to compare Bayesian network classifiers to the k-NN classifier based on a subset of features. This subset is established by means of sequential feature se...