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» On Kernel Methods for Relational Learning
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NIPS
2001
15 years 4 months ago
On the Convergence of Leveraging
We give an unified convergence analysis of ensemble learning methods including e.g. AdaBoost, Logistic Regression and the Least-SquareBoost algorithm for regression. These methods...
Gunnar Rätsch, Sebastian Mika, Manfred K. War...
123
Voted
ECML
1998
Springer
15 years 7 months ago
First-Order Learning for Web Mining
We present compelling evidence that the World Wide Web is a domain in which applications can benefit from using first-order learning methods, since the graph structure inherent in ...
Mark Craven, Seán Slattery, Kamal Nigam
103
Voted
LREC
2008
130views Education» more  LREC 2008»
15 years 4 months ago
Boosting Precision and Recall of Hyponymy Relation Acquisition from Hierarchical Layouts in Wikipedia
This paper proposes an extension of Sumida and Torisawa's method of acquiring hyponymy relations from hierachical layouts in Wikipedia (Sumida and Torisawa, 2008). We extract...
Asuka Sumida, Naoki Yoshinaga, Kentaro Torisawa
IUI
2000
ACM
15 years 7 months ago
Enhancing information retrieval by automatic acquisition of textual relations using genetic programming
We have explored a novel method to find textual relations in electronic documents using genetic programming and semantic networks. This can be used for enhancing information retri...
Agneta Bergström, Patricija Jaksetic, Peter N...
146
Voted
IADIS
2008
15 years 4 months ago
Aggregation in Confidence-Based Concept Discovery for Multi-Relational Data Mining
Multi-relational data mining has become popular due to the limitations of propositional problem definition in structured domains and the tendency of storing data in relational dat...
Yusuf Kavurucu, Pinar Senkul, Ismail Hakki Toroslu