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» Convergence analysis of online algorithms
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JMLR
2012
11 years 11 months ago
Multi Kernel Learning with Online-Batch Optimization
In recent years there has been a lot of interest in designing principled classification algorithms over multiple cues, based on the intuitive notion that using more features shou...
Francesco Orabona, Jie Luo, Barbara Caputo
AUTOMATICA
1999
96views more  AUTOMATICA 1999»
13 years 8 months ago
Optimization of kanban-based manufacturing systems
We develop and analyze an algorithm to maximize the throughput of a serial kanbanbased manufacturing system with arbitrary arrival and service process distributions by adjusting t...
Christos G. Panayiotou, Christos G. Cassandras
ESANN
2004
13 years 9 months ago
A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm
In this paper we propose an Rprop modification that builds on a mathematical framework for the convergence analysis to equip Rprop with a learning rates adaptation strategy that en...
Aristoklis D. Anastasiadis, George D. Magoulas, Mi...
ALT
2003
Springer
14 years 5 months ago
On the Existence and Convergence of Computable Universal Priors
Solomonoff unified Occam’s razor and Epicurus’ principle of multiple explanations to one elegant, formal, universal theory of inductive inference, which initiated the field...
Marcus Hutter
ICASSP
2010
IEEE
13 years 6 months ago
Efficient online learning with individual learning-rates for phoneme sequence recognition
We describe a fast and efficient online algorithm for phoneme sequence speech recognition. Our method is using a discriminative training to update the model parameters one utteran...
Koby Crammer