202 search results - page 31 / 41 » Privacy-preservation for gradient descent methods |
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ICML
2006
IEEE
15 years 5 months ago
2006
IEEE
There are well-established methods for reducing the number of support vectors in a trained binary support vector machine, often with minimal impact on accuracy. We show how reduce...
EUROCRYPT
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. Lattice-based signature schemes following the GoldreichGoldwasser-Halevi (GGH) design have the unusual property that each signature leaks information on the signer's...
ICML
2010
IEEE
15 years 18 days ago
2010
IEEE
We consider the problem of how to improve the efficiency of Multiple Kernel Learning (MKL). In literature, MKL is often solved by an alternating approach: (1) the minimization of ...
PRL
2007
14 years 11 months ago
2007
ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classiï...
PKDD
2010
Springer
14 years 9 months ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...