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114
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AAAI
2010
15 years 2 months ago
Multi-Task Sparse Discriminant Analysis (MtSDA) with Overlapping Categories
Multi-task learning aims at combining information across tasks to boost prediction performance, especially when the number of training samples is small and the number of predictor...
Yahong Han, Fei Wu, Jinzhu Jia, Yueting Zhuang, Bi...
132
Voted
FOIS
2006
15 years 3 months ago
Formalizing Ontology Alignment and its Operations with Category Theory
An ontology alignment is the expression of relations between different ontologies. In order to view alignments independently from the language expressing ontologies and from the te...
Antoine Zimmermann, Markus Krötzsch, Jé...
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
15 years 7 months ago
The maximum hypervolume set yields near-optimal approximation
In order to allow a comparison of (otherwise incomparable) sets, many evolutionary multiobjective optimizers use indicator functions to guide the search and to evaluate the perfor...
Karl Bringmann, Tobias Friedrich
125
Voted
ICMI
2009
Springer
162views Biometrics» more  ICMI 2009»
15 years 9 months ago
Multi-modal features for real-time detection of human-robot interaction categories
Social interactions unfold over time, at multiple time scales, and can be observed through multiple sensory modalities. In this paper, we propose a machine learning framework for ...
Ian R. Fasel, Masahiro Shiomi, Pilippe-Emmanuel Ch...
CCS
2007
ACM
15 years 8 months ago
Defining categories to select representative attack test-cases
To ameliorate the quality of protection provided by intrusion detection systems (IDS) we strongly need more effective evaluation and testing procedures. Evaluating an IDS against ...
Mohammed S. Gadelrab, Anas Abou El Kalam, Yves Des...