1419 search results - page 267 / 284 » Approximation Methods for Supervised Learning |
NIPS
2001
13 years 10 months ago
2001
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
While John Holland has always envisioned learning classifier systems (LCSs) as cognitive systems, most work on LCSs has focused on classification, datamining, and function appro...
CVPR
2003
IEEE
14 years 10 months ago
2003
IEEE
This paper presents a novel method to model and recognize human faces in video sequences. Each registered person is represented by a low-dimensional appearance manifold in the amb...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
A major shortcoming of discriminative recognition and detection methods is their noise sensitivity, both during training and recognition. This may lead to very sensitive and britt...
KDD
2005
ACM
14 years 9 months ago
2005
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...