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» On the Learnability of Vector Spaces
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NIPS
2000
14 years 11 months ago
Text Classification using String Kernels
We propose a novel approach for categorizing text documents based on the use of a special kernel. The kernel is an inner product in the feature space generated by all subsequences...
Huma Lodhi, John Shawe-Taylor, Nello Cristianini, ...
CGF
2010
117views more  CGF 2010»
14 years 10 months ago
SafeGI: Type Checking to Improve Correctness in Rendering System Implementation
Historically, rendering system development has been mainly focused on improving the numerical accuracy of the rendering algorithms and their runtime efficiency. In this paper, we ...
Jiawei Ou, Fabio Pellacini
HEURISTICS
2008
120views more  HEURISTICS 2008»
14 years 10 months ago
A local linear embedding module for evolutionary computation optimization
A Local Linear Embedding (LLE) module enhances the performance of two Evolutionary Computation (EC) algorithms employed as search tools in global optimization problems. The LLE em...
Fabio Boschetti
IGPL
2006
115views more  IGPL 2006»
14 years 10 months ago
Towards Operational Abduction from a Cognitive Perspective
Diminishing awareness is a consequence of the information explosion: disciplines are becoming increasingly specialized; individuals and groups are becoming ever more insular. This...
Peter Bruza, Richard Cole, Dawei Song, Zeeniya Bar...
IJCNN
2007
IEEE
15 years 4 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot