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» Learning with Idealized Kernels
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AAAI
2011
13 years 10 months ago
Transfer Learning by Structural Analogy
Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critica...
Hua-Yan Wang, Qiang Yang
JOT
2010
124views more  JOT 2010»
14 years 8 months ago
Improving Learning Object Reuse Through OOD: A Theory of Learning Objects
The concept of a learning object (LO) has spread quickly without a very specific universal definition, and though born originally from the idea of object oriented design, with a ...
Claudine A. Allen, Ezra K. Mugisa
IJCNN
2007
IEEE
15 years 4 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...
PARA
2004
Springer
15 years 3 months ago
A Family of High-Performance Matrix Multiplication Algorithms
During the last half-decade, a number of research efforts have centered around developing software for generating automatically tuned matrix multiplication kernels. These include ...
John A. Gunnels, Fred G. Gustavson, Greg Henry, Ro...
IDEAL
2009
Springer
15 years 4 months ago
Clustering with XCS and Agglomerative Rule Merging
Abstract. In this paper, we present a more effective approach to clustering with eXtended Classifier System (XCS) which is divided into two phases. The first phase is the XCS le...
Liangdong Shi, Yinghuan Shi, Yang Gao