1407 search results - page 96 / 282 » Learning Abstract Scheduling Models |
ECIR
2011
Springer
14 years 1 months ago
2011
Springer
Abstract. As retrieval systems become more complex, learning to rank approaches are being developed to automatically tune their parameters. Using online learning to rank approaches...
ITS
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural L...
ISMIR
2004
Springer
15 years 3 months ago
2004
Springer
We describe an efficient learning algorithm for aligning a symbolic representation of a musical piece with its acoustic counterpart. Our method employs a supervised learning appr...
IIE
2007
14 years 10 months ago
2007
Abstract thinking is a vital skill when learning computer science. Object technology and the concepts it is based upon make this skill even more crucial. However, previous research...
ATAL
2006
Springer
15 years 1 months ago
2006
Springer
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...