548 search results - page 95 / 110 » Optimization of Convex Risk Functions |
128
Voted
NIPS
2008
15 years 5 months ago
2008
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 ...
142
Voted
IJCAI
2003
15 years 5 months ago
2003
The problem of deriving joint policies for a group of agents that maximize some joint reward function can be modeled as a decentralized partially observable Markov decision proces...
174
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CDC
2008
IEEE
15 years 3 months ago
2008
IEEE
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This c...
143
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SIAMJO
2010
15 years 2 months ago
2010
Abstract. Sequential quadratic programming (SQP) methods form a class of highly efficient algorithms for solving nonlinearly constrained optimization problems. Although second deri...
145
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ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
In this paper we discuss rate control for multiuser multicarrier systems, where the transmitter has a single antenna and is subject to a PSD mask limitation while the receiver has...