Sciweavers

12194 search results - page 297 / 2439
» Numberings Optimal for Learning
Sort
View
ICML
2006
IEEE
16 years 8 months ago
Deterministic annealing for semi-supervised kernel machines
An intuitive approach to utilizing unlabeled data in kernel-based classification algorithms is to simply treat unknown labels as additional optimization variables. For marginbased...
Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chape...
TNN
2008
178views more  TNN 2008»
15 years 7 months ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen
SIGIR
2012
ACM
13 years 9 months ago
TFMAP: optimizing MAP for top-n context-aware recommendation
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, ...
CE
2004
78views more  CE 2004»
15 years 7 months ago
Mapping pedagogy and tools for effective learning design
A number of pedagogies and approaches are often quoted in the e-learning literature
G. Conole, M. Dyke, M. Oliver, J. Seale
COLT
2007
Springer
16 years 1 months ago
Bounded Parameter Markov Decision Processes with Average Reward Criterion
Bounded parameter Markov Decision Processes (BMDPs) address the issue of dealing with uncertainty in the parameters of a Markov Decision Process (MDP). Unlike the case of an MDP, t...
Ambuj Tewari, Peter L. Bartlett