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» On Kernel Methods for Relational Learning
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ECML
2004
Springer
14 years 2 months ago
Associative Clustering
This report contains derivations which did not fit into the paper [3]. Associative clustering (AC) is a method for separately clustering two data sets when one-to-one association...
Janne Sinkkonen, Janne Nikkilä, Leo Lahti, Sa...
IBPRIA
2009
Springer
14 years 1 months ago
Score Fusion by Maximizing the Area under the ROC Curve
Information fusion is currently a very active research topic aimed at improving the performance of biometric systems. This paper proposes a novel method for optimizing the paramete...
Mauricio Villegas, Roberto Paredes
RSS
2007
151views Robotics» more  RSS 2007»
13 years 10 months ago
Predicting Partial Paths from Planning Problem Parameters
— Many robot motion planning problems can be described as a combination of motion through relatively sparsely filled regions of configuration space and motion through tighter p...
Sarah Finney, Leslie Pack Kaelbling, Tomás ...
ESANN
2000
13 years 10 months ago
Algorithmic approaches to training Support Vector Machines: a survey
: Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...
Colin Campbell
WEBNET
2000
13 years 10 months ago
Electronic Portfolios in Assessment of Preservice Teachers
: Portfolios are valuable authentic assessment tools in preservice teacher education programs, as they allow for student demonstration of performance, interconnected tasks, respons...
Scott Walker