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NIPS
2008
13 years 10 months ago
Multi-label Multiple Kernel Learning
We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...
Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye
COR
2006
122views more  COR 2006»
13 years 8 months ago
Multiple task assignments for cooperating uninhabited aerial vehicles using genetic algorithms
A problem of assigning cooperating uninhabited aerial vehicles to perform multiple tasks on multiple targets is posed as a new combinatorial optimization problem. A genetic algori...
Tal Shima, Steven J. Rasmussen, Andrew G. Sparks, ...
CORR
2004
Springer
117views Education» more  CORR 2004»
13 years 8 months ago
Efficient dot product over word-size finite fields
We want to achieve efficiency for the exact computation of the dot product of two vectors over word size finite fields. We therefore compare the practical behaviors of a wide range...
Jean-Guillaume Dumas
ESANN
2004
13 years 10 months ago
Evolutionary tuning of multiple SVM parameters
The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...
Frauke Friedrichs, Christian Igel
CORR
2007
Springer
92views Education» more  CORR 2007»
13 years 8 months ago
Bit-Interleaved Coded Multiple Beamforming with Imperfect CSIT
This paper addresses the performance of bit-interleaved coded multiple beamforming (BICMB) [1], [2] with imperfect knowledge of beamforming vectors. Most studies for limited-rate ...
Ersin Sengul, Ender Ayanoglu