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DAGM
2004
Springer
16 years 1 days ago
Learning with Distance Substitution Kernels
Abstract. During recent years much effort has been spent in incorporating problem specific a-priori knowledge into kernel methods for machine learning. A common example is a-prior...
Bernard Haasdonk, Claus Bahlmann
JMLR
2010
185views more  JMLR 2010»
15 years 1 months ago
Multiple Kernel Learning on the Limit Order Book
Simple features constructed from order book data for the EURUSD currency pair were used to construct a set of kernels. These kernels were used both individually and simultaneously...
Tristan Fletcher, Zakria Hussain, John Shawe-Taylo...
NN
2006
Springer
128views Neural Networks» more  NN 2006»
15 years 6 months ago
Topographic map formation of factorized Edgeworth-expanded kernels
We introduce a new learning algorithm for topographic map formation of Edgeworth-expanded Gaussian activation kernels. In order to avoid the rapid increase in kernel parameters, a...
Marc M. Van Hulle
ICML
2006
IEEE
16 years 7 months ago
Kernelizing the output of tree-based methods
We extend tree-based methods to the prediction of structured outputs using a kernelization of the algorithm that allows one to grow trees as soon as a kernel can be defined on the...
Florence d'Alché-Buc, Louis Wehenkel, Pierr...
ETS
2000
IEEE
90views Hardware» more  ETS 2000»
15 years 6 months ago
Role of Contracts in Enhancing Community Building in Web Courses
Project-based work via telecommunications requires the instructor and the students to take explicit steps to create an on-line community that is focused on high quality learning a...
Karen L. Murphy, Sue E. Mahoney, Tina J. Harvell