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SCJAPAN
2000
136views more  SCJAPAN 2000»
14 years 11 months ago
Acceleration of the EM algorithm
The EM algorithm is widely used to estimate the parameters of many applications. It is simple but the convergence speed is slow. There is another algorithm called the scoring metho...
Shiro Ikeda
CDC
2008
IEEE
162views Control Systems» more  CDC 2008»
15 years 6 months ago
Average consensus by gossip algorithms with quantized communication
— This work studies how the randomized gossip algorithm can solve the average consensus problem on networks with quantized communications. The algorithm is proved to converge to ...
Paolo Frasca, Ruggero Carli, Fabio Fagnani, Sandro...
ECML
2006
Springer
15 years 3 months ago
Constant Rate Approximate Maximum Margin Algorithms
We present a new class of perceptron-like algorithms with margin in which the "effective" learning rate, defined as the ratio of the learning rate to the length of the we...
Petroula Tsampouka, John Shawe-Taylor
ICA
2012
Springer
13 years 7 months ago
New Online EM Algorithms for General Hidden Markov Models. Application to the SLAM Problem
In this contribution, new online EM algorithms are proposed to perform inference in general hidden Markov models. These algorithms update the parameter at some deterministic times ...
Sylvain Le Corff, Gersende Fort, Eric Moulines
TIT
2008
76views more  TIT 2008»
14 years 11 months ago
Improved Risk Tail Bounds for On-Line Algorithms
We prove the strongest known bound for the risk of hypotheses selected from the ensemble generated by running a learning algorithm incrementally on the training data. Our result i...
Nicolò Cesa-Bianchi, Claudio Gentile