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» Generalization Improvement in Multi-Objective Learning
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GRAPHICSINTERFACE
2003
15 years 1 months ago
Learning from Games: HCI Design Innovations in Entertainment Software
Computer games are one of the most successful application domains in the history of interactive systems. This success has come despite the fact that games were ‘separated at bir...
Jeff Dyck, David Pinelle, Barry Brown, Carl Gutwin
105
Voted
SIGIR
2010
ACM
15 years 19 days ago
Learning to rank query reformulations
Query reformulation techniques based on query logs have recently proven to be effective for web queries. However, when initial queries have reasonably good quality, these techniqu...
Van Dang, Michael Bendersky, W. Bruce Croft
114
Voted
JSW
2007
147views more  JSW 2007»
15 years 10 days ago
Towards Secure e-Learning Applications: a Multiagent Platform
—This paper presents some results in the intersection of three technological fields: e-learning, multiagent systems, and standards to improve the development of secure systems. T...
Carine G. Webber, Maria de Fátima Webber do...
TKDE
2011
479views more  TKDE 2011»
14 years 7 months ago
Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
Wei Zhang, Zhouchen Lin, Xiaoou Tang
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
16 years 7 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)