359 search results - page 20 / 72 » A Constrained Semi-supervised Learning Approach to Data Asso... |
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
ISMB
2000
13 years 9 months ago
2000
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
IROS
2009
IEEE
14 years 2 months ago
2009
IEEE
— Many everyday human skills can be framed in terms of performing some task subject to constraints imposed by the environment. Constraints are usually unobservable and frequently...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Constrained cepstral systems, which select frames to match various linguistic “constraints” in enrollment and test, have shown significant improvements for speaker verificatio...
SAC
2010
ACM
13 years 2 months ago
2010
ACM
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...