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» On Kernel Methods for Relational Learning
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ACL
2007
15 years 4 months ago
Learning to Extract Relations from the Web using Minimal Supervision
We present a new approach to relation extraction that requires only a handful of training examples. Given a few pairs of named entities known to exhibit or not exhibit a particula...
Razvan C. Bunescu, Raymond J. Mooney
ICML
2008
IEEE
16 years 3 months ago
An RKHS for multi-view learning and manifold co-regularization
Inspired by co-training, many multi-view semi-supervised kernel methods implement the following idea: find a function in each of multiple Reproducing Kernel Hilbert Spaces (RKHSs)...
Vikas Sindhwani, David S. Rosenberg
145
Voted
NIPS
2003
15 years 4 months ago
Learning a Distance Metric from Relative Comparisons
This paper presents a method for learning a distance metric from relative comparison such as “A is closer to B than A is to C”. Taking a Support Vector Machine (SVM) approach,...
Matthew Schultz, Thorsten Joachims
LREC
2008
155views Education» more  LREC 2008»
15 years 4 months ago
L-ISA: Learning Domain Specific Isa-Relations from the Web
Automated extraction of ontological knowledge from text corpora is a relevant task in Natural Language Processing. In this paper, we focus on the problem of finding hypernyms for ...
Alessandra Potrich, Emanuele Pianta
BTW
2003
Springer
94views Database» more  BTW 2003»
15 years 8 months ago
The Paradigm of Relational Indexing: a Survey
Abstract: In order to achieve efficient execution plans for queries comprising userdefined data types and predicates, the database system has to be provided with appropriate index ...
Hans-Peter Kriegel, Martin Pfeifle, Marco Pöt...