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» Some new iterative methods with three-order convergence
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CORR
2010
Springer
163views Education» more  CORR 2010»
13 years 6 months ago
Faster Rates for training Max-Margin Markov Networks
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
FORTE
2004
13 years 9 months ago
Introducing the Iteration in sPBC
The main goal of this paper is to extend sPBC with the iteration operator, providing an operational semantics for the language, as well as a denotational semantics, which is based ...
Hermenegilda Macià, Valentín Valero ...
ICML
2007
IEEE
14 years 8 months ago
On one method of non-diagonal regularization in sparse Bayesian learning
In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...
Dmitry Kropotov, Dmitry Vetrov
ICCAD
1999
IEEE
81views Hardware» more  ICCAD 1999»
13 years 12 months ago
Robust optimization based backtrace method for analog circuits
In this paper, we propose a new robust approach to signal backtrace for efficiently testing embedded analog modules in a large system. The proposed signal backtrace method is form...
Alfred V. Gomes, Abhijit Chatterjee
SIAMJO
2008
139views more  SIAMJO 2008»
13 years 7 months ago
An Augmented Primal-Dual Method for Linear Conic Programs
We propose a new iterative approach for solving linear programs over convex cones. Assuming that Slaters condition is satisfied, the conic problem is transformed to the minimizatio...
Florian Jarre, Franz Rendl