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» On Kernel Methods for Relational Learning
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TIP
2011
217views more  TIP 2011»
14 years 10 months ago
Contextual Object Localization With Multiple Kernel Nearest Neighbor
—Recently, many object localization models have shown that incorporating contextual cues can greatly improve accuracy over using appearance features alone. Therefore, many of the...
Brian McFee, Carolina Galleguillos, Gert R. G. Lan...
EWCBR
2004
Springer
15 years 8 months ago
Case-Based Relational Learning of Expressive Phrasing in Classical Music
An application of relational case-based learning to the task of expressive music performance is presented. We briefly recapitulate the relational case-based learner DISTALL and em...
Asmir Tobudic, Gerhard Widmer
ICML
2005
IEEE
16 years 4 months ago
Relating reinforcement learning performance to classification performance
We prove a quantitative connection between the expected sum of rewards of a policy and binary classification performance on created subproblems. This connection holds without any ...
John Langford, Bianca Zadrozny
NIPS
2007
15 years 4 months ago
Hierarchical Penalization
Hierarchical penalization is a generic framework for incorporating prior information in the fitting of statistical models, when the explicative variables are organized in a hiera...
Marie Szafranski, Yves Grandvalet, Pierre Morizet-...
IJCAI
1993
15 years 4 months ago
HYDRA: A Noise-tolerant Relational Concept Learning Algorithm
Many learning algorithms form concept descriptions composed of clauses, each of which covers some proportion of the positive training data and a small to zero proportion of the ne...
Kamal M. Ali, Michael J. Pazzani