Sciweavers

87 search results - page 3 / 18
» A Note on the Generalization Performance of Kernel Classifie...
Sort
View
CVPR
2008
IEEE
14 years 9 months ago
Large margin pursuit for a Conic Section classifier
Learning a discriminant becomes substantially more difficult when the datasets are high-dimensional and the available samples are few. This is often the case in computer vision an...
Santhosh Kodipaka, Arunava Banerjee, Baba C. Vemur...
AAAI
2000
13 years 8 months ago
Restricted Bayes Optimal Classifiers
We introduce the notion of restricted Bayes optimal classifiers. These classifiers attempt to combine the flexibility of the generative approach to classification with the high ac...
Simon Tong, Daphne Koller
CEC
2003
IEEE
14 years 11 days ago
A note on general adaptation in populations of painting robots
A population of virtual robots is evolved to perform the task of competitively painting the floor of a toroidal room. Two robots are present in any given room and paint using dis...
Dan Ashlock, Elizabeth Blankenship, Jonathan Gandr...
NPL
2006
130views more  NPL 2006»
13 years 7 months ago
A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers
This paper presents a novel dimension reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-c...
Senjian An, Wanquan Liu, Svetha Venkatesh, Ronny T...
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
13 years 5 months ago
Laplacian Spectrum Learning
Abstract. The eigenspectrum of a graph Laplacian encodes smoothness information over the graph. A natural approach to learning involves transforming the spectrum of a graph Laplaci...
Pannagadatta K. Shivaswamy, Tony Jebara