99 search results - page 10 / 20 » Learning vector quantization: The dynamics of winner-takes-a... |
ICANN
2001
Springer
14 years 3 days ago
2001
Springer
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
NIPS
1996
13 years 9 months ago
1996
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
In this work, Self Organizing Map (SOM) is used in order to classify the types of defections in electrical systems, known as Power Quality (PQ) events. The features for classificat...
FLAIRS
2003
13 years 9 months ago
2003
This paper presents an adaptive algorithm for learning the user profile. The user profile is learned incrementally and continuously based on user’s initial profile, his actions ...
NIPS
1998
13 years 9 months ago
1998
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...