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ICASSP
2008
IEEE
15 years 10 months ago
Maximum conditional likelihood linear regression and maximum a posteriori for hidden conditional random fields speaker adaptatio
This paper shows how to improve Hidden Conditional Random Fields (HCRFs) for phone classification by applying various speaker adaptation techniques. These include Maximum A Poste...
Yun-Hsuan Sung, Constantinos Boulis, Daniel Jurafs...
CCS
2006
ACM
15 years 7 months ago
A fully collusion resistant broadcast, trace, and revoke system
We introduce a simple primitive called Augmented Broadcast Encryption (ABE) that is sufficient for constructing broadcast encryption, traitor-tracing, and trace-and-revoke systems...
Dan Boneh, Brent Waters
PROMS
2001
Springer
176views Multimedia» more  PROMS 2001»
15 years 8 months ago
A Mechanism for Multicast Multimedia Data with Adaptive QoS Characteristics
In this paper, we describe a mechanism for adaptive transmission of multimedia data, which is based on real time protocols. The proposed mechanism can be used for multicast multime...
Christos Bouras, Apostolos Gkamas
SAB
2010
Springer
117views Optimization» more  SAB 2010»
15 years 2 months ago
Indirectly Encoding Neural Plasticity as a Pattern of Local Rules
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
Sebastian Risi, Kenneth O. Stanley
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 1 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel