2440 search results - page 371 / 488 » Abstraction Learning |
127
click to vote
LION
2010
Springer
15 years 4 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...
136
Voted
CEC
2011
IEEE
14 years 22 days 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...
89
Voted
SIGIR
2010
ACM
15 years 4 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
15 years 21 days 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...
108
click to vote
ECCV
2008
Springer
16 years 2 months 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 ...