162 search results - page 29 / 33 » Mining for the most certain predictions from dyadic data |
KES
2008
Springer
13 years 7 months ago
2008
Springer
Epilepsy is one of the most frequent neurological disorders. The main method used in epilepsy diagnosis is electroencephalogram (EEG) signal analysis. However this method requires ...
CIDR
2009
13 years 8 months ago
2009
In recent years, column stores (or C-stores for short) have emerged as a novel approach to deal with read-mostly data warehousing applications. Experimental evidence suggests that...
KDD
2008
ACM
14 years 7 months ago
2008
ACM
Active learning may hold the key for solving the data scarcity problem in supervised learning, i.e., the lack of labeled data. Indeed, labeling data is a costly process, yet an ac...
BMCBI
2006
13 years 7 months ago
2006
Background: Methods for predicting protein function directly from amino acid sequences are useful tools in the study of uncharacterised protein families and in comparative genomic...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Most commonly used inductive rule learning algorithms employ a hill-climbing search, whereas local pattern discovery algorithms employ exhaustive search. In this paper, we evaluat...