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» Evaluating Feature Selection for SVMs in High Dimensions
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101
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JAIR
2010
131views more  JAIR 2010»
14 years 11 months ago
Automatic Induction of Bellman-Error Features for Probabilistic Planning
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
Jia-Hong Wu, Robert Givan
139
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APVIS
2011
14 years 13 days ago
View point evaluation and streamline filtering for flow visualization
Visualization of flow fields with geometric primitives is often challenging due to occlusion that is inevitably introduced by 3D streamlines. In this paper, we present a novel v...
Teng-Yok Lee, Oleg Mishchenko, Han-Wei Shen, Roger...
INFOCOM
2011
IEEE
14 years 3 months ago
A highly scalable bandwidth estimation of commercial hotspot access points
—WiFi access points that provide Internet access to users have been steadily increasing in urban areas. Different access points differ from one another in terms of services that ...
Xinyu Xing, Jianxun Dang, Shivakant Mishra, Xue Li...
115
Voted
IJCNN
2008
IEEE
15 years 6 months ago
Learning to select relevant perspective in a dynamic environment
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
Zhihui Luo, David A. Bell, Barry McCollum, Qingxia...
98
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SAC
2010
ACM
15 years 19 days ago
Visual processing-inspired fern-audio features for noise-robust speaker verification
In this paper, we consider the problem of speaker verification as a two-class object detection problem in computer vision, where the object instances are 1-D short-time spectral v...
Anindya Roy, Sébastien Marcel