31 search results - page 1 / 7 » Reducing Training Sets by NCN-based Exploratory Procedures |
IBPRIA
2003
Springer
13 years 10 months ago
2003
Springer
In this paper, a new approach to training set size reduction is presented. This scheme basically consists of defining a small number of prototypes that represent all the original ...
NPL
2006
13 years 4 months ago
2006
Hierarchical Incremental Class Learning (HICL) is a new task decomposition method that addresses the pattern classification problem. HICL is proven to be a good classifier but clos...
JMLR
2010
12 years 11 months ago
2010
We consider a supervised learning setting in which the main cost of learning is the number of training labels and one can obtain a single label for a bag of examples, indicating o...
NIPS
2004
13 years 6 months ago
2004
We propose to selectively remove examples from the training set using probabilistic estimates related to editing algorithms (Devijver and Kittler, 1982). This heuristic procedure ...
TSP
2008
13 years 4 months ago
2008
We present a discriminative training algorithm, that uses support vector machines (SVMs), to improve the classification of discrete and continuous output probability hidden Markov ...