719 search results - page 29 / 144 » Solving Sparse Linear Constraints |
CP
2007
Springer
15 years 2 months ago
2007
Springer
Abstract. Computing the minimal network (or minimal CSP) representation of a given set of constraints over the Point Algebra (PA) is a fundamental reasoning problem. In this paper ...
102
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ICML
2007
IEEE
15 years 11 months ago
2007
IEEE
Eigenvalue problems are rampant in machine learning and statistics and appear in the context of classification, dimensionality reduction, etc. In this paper, we consider a cardina...
ICANN
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. In this paper we discuss sparse least squares support vector regressors (sparse LS SVRs) defined in the reduced empirical feature space, which is a subspace of mapped tr...
112
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ICASSP
2011
IEEE
14 years 2 months ago
2011
IEEE
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...
IDA
2002
Springer
14 years 10 months ago
2002
Springer
Recently we presented a new approach [20] to the classification problem arising in data mining. It is based on the regularization network approach but in contrast to other methods...