1136 search results - page 23 / 228 » Learning with Weighted Transducers |
IJCAI
2003
13 years 10 months ago
2003
A new approach to the Text Categorization problem is here presented. It is called Gaussian Weighting and it is a supervised learning algorithm that, during the training phase, est...
ISCAS
1999
IEEE
14 years 1 months ago
1999
IEEE
We study the weight dynamics of the floating-gate pFET synapse and the effects of the pFET's gate and drain voltages on these dynamics. We show that we can derive a weight upd...
ECML
2006
Springer
14 years 20 days ago
2006
Springer
In many graph-based semi-supervised learning algorithms, edge weights are assumed to be fixed and determined by the data points' (often symmetric) relationships in input space...
MCS
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. We describe an ensemble of classifiers based algorithm for incremental learning in nonstationary environments. In this formulation, we assume that the learner is presente...
ICCBR
1997
Springer
14 years 1 months ago
1997
Springer
Previous work on feature weighting for case-based learning algorithms has tended to use either global weights or weights that vary over extremely local regions of the case space. T...