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» Regularization and feature selection for networked features
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JMLR
2010
155views more  JMLR 2010»
15 years 2 months ago
Approximate Tree Kernels
Convolution kernels for trees provide simple means for learning with tree-structured data. The computation time of tree kernels is quadratic in the size of the trees, since all pa...
Konrad Rieck, Tammo Krueger, Ulf Brefeld, Klaus-Ro...
224
Voted
PRL
2011
14 years 6 months ago
A Bayes-true data generator for evaluation of supervised and unsupervised learning methods
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
Janick V. Frasch, Aleksander Lodwich, Faisal Shafa...
133
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IWANN
2009
Springer
15 years 10 months ago
RCGA-S/RCGA-SP Methods to Minimize the Delta Test for Regression Tasks
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
Fernando Mateo, Dusan Sovilj, Rafael Gadea Giron&e...
ADHOCNOW
2005
Springer
15 years 9 months ago
Probability Distributions for Channel Utilisation
Sensor nets have many undisputed fields of application. A paradigm of communication is the use of one control channel in the MAC layer. We challenge this paradigm for nodes with v...
Christian Schindelhauer, Kerstin Voß
ECAL
2007
Springer
15 years 7 months ago
Evolution of Cooperation in a Population of Selfish Adaptive Agents
Often the selfish and strong are believed to be favored by natural selection, even though cooperative interactions thrive at all levels of organization in living systems. Recent em...
Jorge M. Pacheco, Tom Lenaerts, Francisco C. Santo...