881 search results - page 44 / 177 » Spectral Algorithms for Supervised Learning |
IJCNN
2007
IEEE
15 years 4 months ago
2007
IEEE
— In this paper a clustering algorithm that learns the groups of synchronized spike trains directly from data is proposed. Clustering of spike trains based on the presence of syn...
EPIA
2003
Springer
15 years 2 months ago
2003
Springer
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
NIPS
2004
14 years 11 months ago
2004
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
DGO
2008
14 years 11 months ago
2008
This paper presents a new approach to identifying concepts expressed in a collection of email messages, and organizing them into an ontology or taxonomy for browsing. It incorpora...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...