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CVPR
2006
IEEE
15 years 4 days ago
On-line Boosting and Vision
Boosting has become very popular in computer vision, showing impressive performance in detection and recognition tasks. Mainly off-line training methods have been used, which impl...
Helmut Grabner, Horst Bischof
JMLR
2010
189views more  JMLR 2010»
13 years 4 months ago
Adaptive Step-size Policy Gradients with Average Reward Metric
In this paper, we propose a novel adaptive step-size approach for policy gradient reinforcement learning. A new metric is defined for policy gradients that measures the effect of ...
Takamitsu Matsubara, Tetsuro Morimura, Jun Morimot...
WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
12 years 5 months ago
Learning to rank with multi-aspect relevance for vertical search
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. T...
ACE
2003
115views Education» more  ACE 2003»
13 years 11 months ago
Impacting the Learning Experience
The availability of technology has seen the development of online asynchronous discussion boards for use in teaching and learning. This paper explores the use of this medium withi...
Sandra Barker
ICALT
2009
IEEE
14 years 1 months ago
Conditioning Factors for Group Management in Blended Learning Scenarios
The management of groups is an essential task in collaborative learning scenarios. In a blended learning situation, in which online activities and face-to-face activities are comb...
Mar Pérez-Sanagustín, Davinia Hern&a...