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JMLR
2012
13 years 6 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
170
Voted
ISOLA
2010
Springer
15 years 2 months ago
LivingKnowledge: Kernel Methods for Relational Learning and Semantic Modeling
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Alessandro Moschitti
128
Voted
IJCNN
2007
IEEE
15 years 10 months ago
Preference Learning for Category-Ranking based Interactive Text Categorization
— Category Ranking is a variant of the multi-label classification problem, in which, rather than performing a (hard) assignment to an object of categories from a predefined set...
Fabio Aiolli, Fabrizio Sebastiani, Alessandro Sper...
125
Voted
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 9 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
121
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SCS
2001
15 years 5 months ago
Extending and Evaluating a Pattern Language for Safety-Critical User Interfaces
This paper describes the extension and evaluation of Hussey's pattern language for safety-critical user interface development [Hussey and Mahemoff, 1999]. The patterns were u...
Simon Connelly, Jay Burmeister, Anthony MacDonald,...