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SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
14 years 9 months ago
Multi-Instance Mixture Models
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
James R. Foulds, Padhraic Smyth
IEEEPACT
2009
IEEE
16 years 1 months ago
Automatic Tuning of Discrete Fourier Transforms Driven by Analytical Modeling
—Analytical models have been used to estimate optimal values for parameters such as tile sizes in the context of loop nests. However, important algorithms such as fast Fourier tr...
Basilio B. Fraguela, Yevgen Voronenko, Markus P&uu...
JOT
2010
117views more  JOT 2010»
15 years 5 months ago
Formal Model and DSL for Separation of Concerns based on Views
The separation of concerns (SOC), as a conceptual tool, enables us to manage the complexity of software systems that we develop. The benefits of this paradigm, such as reuse, enhan...
Mehdi Adda, Hamid Mcheick, Hafedh Mili
CADE
2005
Springer
16 years 7 months ago
The Model Evolution Calculus with Equality
In many theorem proving applications, a proper treatment of equational theories or equality is mandatory. In this paper we show how to integrate a modern treatment of equality in ...
Peter Baumgartner, Cesare Tinelli
ICAS
2008
IEEE
274views Robotics» more  ICAS 2008»
16 years 1 months ago
Model-Driven Engineering of Multi-target Plastic User Interfaces
A Multi-target user interface is composed of a series of interconnected variations of the same user interfaces, but tailored for different targets or different contexts of use. Wh...
Benoît Collignon, Jean Vanderdonckt, Gaë...