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ICML
2007
IEEE
16 years 7 months ago
On one method of non-diagonal regularization in sparse Bayesian learning
In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...
Dmitry Kropotov, Dmitry Vetrov
WWW
2009
ACM
16 years 7 months ago
Advertising keyword generation using active learning
This paper proposes an efficient relevance feedback based interactive model for keyword generation in sponsored search advertising. We formulate the ranking of relevant terms as a...
Hao Wu, Guang Qiu, Xiaofei He, Yuan Shi, Mingcheng...
MLDM
2009
Springer
15 years 11 months ago
Selection of Subsets of Ordered Features in Machine Learning
The new approach of relevant feature selection in machine learning is proposed for the case of ordered features. Feature selection and regularization of decision rule are combined ...
Oleg Seredin, Andrey Kopylov, Vadim Mottl
ACMACE
2008
ACM
15 years 8 months ago
Training social learning skills by collaborative mobile gaming in museums
The use of handheld computers as a tool to enrich the museum experience has found its way into many museums, opening up new possibilities to increase the attractiveness of museum ...
Jolien Schroyen, Kris Gabriëls, Kris Luyten, ...
ACL
2006
15 years 8 months ago
Learning Accurate, Compact, and Interpretable Tree Annotation
We present an automatic approach to tree annotation in which basic nonterminal symbols are alternately split and merged to maximize the likelihood of a training treebank. Starting...
Slav Petrov, Leon Barrett, Romain Thibaux, Dan Kle...