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» Online and batch learning of pseudo-metrics
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NIPS
2003
13 years 6 months ago
Large Scale Online Learning
We consider situations where training data is abundant and computing resources are comparatively scarce. We argue that suitably designed online learning algorithms asymptotically ...
Léon Bottou, Yann LeCun
NAACL
2010
13 years 2 months ago
Online Learning for Interactive Statistical Machine Translation
State-of-the-art Machine Translation (MT) systems are still far from being perfect. An alternative is the so-called Interactive Machine Translation (IMT) framework. In this framew...
Daniel Ortiz-Martínez, Ismael García...
TNN
2010
233views Management» more  TNN 2010»
12 years 11 months ago
A hierarchical RBF online learning algorithm for real-time 3-D scanner
In this paper, a novel real-time online network model is presented. It is derived from the hierarchical radial basis function (HRBF) model and it grows by automatically adding unit...
Stefano Ferrari, Francesco Bellocchio, Vincenzo Pi...
ICML
2009
IEEE
14 years 5 months ago
Proximal regularization for online and batch learning
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo
ICML
2004
IEEE
14 years 5 months ago
Online and batch learning of pseudo-metrics
We describe and analyze an online algorithm for supervised learning of pseudo-metrics. The algorithm receives pairs of instances and predicts their similarity according to a pseud...
Shai Shalev-Shwartz, Yoram Singer, Andrew Y. Ng