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DAGM
2004
Springer
15 years 3 months 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»
14 years 4 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»
14 years 9 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
66
Voted
ICML
2006
IEEE
15 years 10 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»
14 years 9 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