228 search results - page 9 / 46 » Neural Network Regression for LHF Process Optimization |
ECAI
2004
Springer
14 years 1 months ago
2004
Springer
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
GECCO
2003
Springer
14 years 1 months ago
2003
Springer
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
IWANN
2009
Springer
14 years 2 months ago
2009
Springer
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
ECAI
2010
Springer
13 years 5 months ago
2010
Springer
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...
OL
2011
12 years 10 months ago
2011
In this paper we present a methodology for finding tight convex relaxations for a special set of quadratic constraints given by bilinear and linear terms that frequently arise in ...