269 search results - page 6 / 54 » Semidefinite Optimization Approaches for Satisfiability and ... |
CORR
2008
Springer
13 years 8 months ago
2008
Springer
Abstract. We introduce two min-max problems: the first problem is to minimize the supremum of finitely many rational functions over a compact basic semi-algebraic set whereas the s...
CORR
1999
Springer
13 years 7 months ago
1999
Springer
A variational approach to finite connectivity spin-glass-like models is developed and applied to describe the structure of optimal solutions in random satisfiability problems. Our ...
AAAI
1998
13 years 9 months ago
1998
This paper describes STAGE, a learning approach to automatically improving search performance on optimization problems.STAGElearns an evaluation function which predicts the outcom...
CORR
2008
Springer
13 years 8 months ago
2008
Springer
In multi-input multi-output (MIMO) detection, semidefinite relaxation (SDR) has been shown to be an efficient high-performance approach. For BPSK and QPSK, it has been found that S...
ICML
2002
IEEE
14 years 8 months ago
2002
IEEE
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...