801 search results - page 44 / 161 » The Inefficiency of Batch Training for Large Training Sets |
PR
2008
13 years 8 months ago
2008
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
SIGIR
2011
ACM
12 years 11 months ago
2011
ACM
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...
ICCSA
2003
Springer
14 years 2 months ago
2003
Springer
A speaker model in speaker recognition system is to be trained from a large data set gathered in multiple sessions. Large data set requires large amount of memory and computation, ...
ICAT
2006
IEEE
14 years 2 months ago
2006
IEEE
When a fault such as unbalance occurs in a turbo-generator set, sensors should be put on its bearing to detect vibration signals for extracting fault symptoms, but the relationshi...
IJCAI
2007
13 years 10 months ago
2007
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...