2440 search results - page 371 / 488 » Abstraction Learning |
LION
2010
Springer
14 years 2 months ago
2010
Springer
Abstract. Algorithm selection is typically based on models of algorithm performance learned during a separate offline training sequence, which can be prohibitively expensive. In r...
CEC
2011
IEEE
12 years 10 months ago
2011
IEEE
Abstract—In this paper, we propose a framework for employing opposition-based learning to assist evolutionary algorithms in solving discrete and combinatorial optimization proble...
SIGIR
2010
ACM
14 years 2 months ago
2010
ACM
Effective learning in multi-label classification (MLC) requires an ate level of abstraction for representing the relationship between each instance and multiple categories. Curren...
PERVASIVE
2008
Springer
13 years 10 months ago
2008
Springer
Abstract. People-centric sensor-based applications targeting mobile device users offer enormous potential. However, learning inference models in this setting is hampered by the lac...
ECCV
2008
Springer
15 years 4 days ago
2008
Springer
Abstract. Recently, on-line adaptation of binary classifiers for tracking have been investigated. On-line learning allows for simple classifiers since only the current view of the ...