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» Geometric Duality in Multiple Objective Linear Programming
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NIPS
2008
13 years 9 months ago
An Extended Level Method for Efficient Multiple Kernel Learning
We consider the problem of multiple kernel learning (MKL), which can be formulated as a convex-concave problem. In the past, two efficient methods, i.e., Semi-Infinite Linear Prog...
Zenglin Xu, Rong Jin, Irwin King, Michael R. Lyu
ICCSA
2007
Springer
14 years 1 months ago
On Optimization of the Importance Weighted OWA Aggregation of Multiple Criteria
The problem of aggregating multiple numerical criteria to form overall objective functions is of considerable importance in many disciplines. The ordered weighted averaging (OWA) a...
Wlodzimierz Ogryczak, Tomasz Sliwinski
BMCBI
2006
134views more  BMCBI 2006»
13 years 7 months ago
A statistical score for assessing the quality of multiple sequence alignments
Background: Multiple sequence alignment is the foundation of many important applications in bioinformatics that aim at detecting functionally important regions, predicting protein...
Virpi Ahola, Tero Aittokallio, Mauno Vihinen, Esa ...
TVCG
2010
129views more  TVCG 2010»
13 years 6 months ago
Projector Placement Planning for High Quality Visualizations on Real-World Colored Objects
—Many visualization applications benefit from displaying content on real-world objects rather than on a traditional display (e.g., a monitor). This type of visualization display ...
Alvin J. Law, Daniel G. Aliaga, Aditi Majumder
CTCS
1989
Springer
13 years 11 months ago
Quantitative Domains, Groupoids and Linear Logic
We introduce the notion of a candidate for “multiple valued universal constructions” and define stable functors (which generalise functors with left adjoints) in terms of fac...
Paul Taylor 0002