801 search results - page 69 / 161 » The Inefficiency of Batch Training for Large Training Sets |
ICANN
2005
Springer
14 years 2 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
CSB
2004
IEEE
14 years 22 days ago
2004
IEEE
Gene expression profiles with clinical outcome data enable monitoring of disease progression and prediction of patient survival at the molecular level. We present a new computatio...
CSL
2006
Springer
13 years 9 months ago
2006
Springer
Grammar induction, also known as grammar inference, is one of the most important research areas in the domain of natural language processing. Availability of large corpora has enc...
DASFAA
2004
IEEE
14 years 22 days ago
2004
IEEE
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
CICLING
2004
Springer
14 years 2 months ago
2004
Springer
When text categorization is applied to complex tasks, it is tedious and expensive to hand-label the large amounts of training data necessary for good performance. In this paper, we...