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NECO
2007
129views more  NECO 2007»
15 years 5 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe
CORR
2010
Springer
204views Education» more  CORR 2010»
15 years 4 months ago
Predictive State Temporal Difference Learning
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
Byron Boots, Geoffrey J. Gordon
RTSS
2008
IEEE
16 years 20 days ago
A Multi-mode Real-Time Calculus
The Real-Time Calculus (RTC) framework proposed in [Chakraborty et al., DATE 2003] and subsequently extended in [Wandeler et al., Real-Time Systems 29(2-3), 2005] and a number of ...
Linh T. X. Phan, Samarjit Chakraborty, P. S. Thiag...
ICC
2007
IEEE
117views Communications» more  ICC 2007»
16 years 19 days ago
Applying Techniques from Frame Synchronization for Biological Sequence Analysis
— During the last years, the amount of genetic data available has increased rapidly which creates the demand for advanced techniques for their interpretation. In the following, w...
Johanna Weindl, Joachim Hagenauer
CMSB
2007
Springer
16 years 14 days ago
Expressive Models for Synaptic Plasticity
We explore some presynaptic mechanisms of the calyx of Held synapse through a stochastic model. The model, drawn from a kinetic approach developed in literature, exploits process c...
Andrea Bracciali, Marcello Brunelli, Enrico Catald...