2245 search results - page 335 / 449 » Metrics that Learn Relevance |
PREMI
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. This paper presents an architecture that enables the recognizer to learn incrementally and, thereby adapt to document image collections for performance improvement. We ar...
IWANN
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. A spiking neural network modeling the cerebellum is presented. The model, consisting of more than 2000 conductance-based neurons and more than 50 000 synapses, runs in re...
PDC
2004
ACM
14 years 2 months ago
2004
ACM
This paper reports the value of On the Spot Experiments with self-produced content and the use of technology within healthcare. On the Spot Experiments are experiments conducted i...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
BMCBI
2004
13 years 9 months ago
2004
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...