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» Question classification using support vector machines
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PAMI
2011
14 years 10 months ago
Revisiting Linear Discriminant Techniques in Gender Recognition
—Emerging applications of computer vision and pattern recognition in mobile devices and networked computing require the development of resourcelimited algorithms. Linear classifi...
Juan Bekios-Calfa, José Miguel Buenaposada,...
CHI
2010
ACM
15 years 10 months ago
Let's go from the whiteboard: supporting transitions in work through whiteboard capture and reuse
The use of whiteboards is pervasive across a wide range of work domains. But some of the qualities that make them successful—an intuitive interface, physical working space, and ...
Stacy M. Branham, Gene Golovchinsky, Scott Carter,...
124
Voted
PKDD
2009
Springer
138views Data Mining» more  PKDD 2009»
15 years 10 months ago
Margin and Radius Based Multiple Kernel Learning
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
Huyen Do, Alexandros Kalousis, Adam Woznica, Melan...
151
Voted
GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
15 years 4 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
CHI
2006
ACM
16 years 4 months ago
Embedded phenomena: supporting science learning with classroom-sized distributed simulations
`Embedded phenomena' is a learning technology framework in which simulated scientific phenomena are mapped onto the physical space of classrooms. Students monitor and control...
Tom Moher