193 search results - page 18 / 39 » Approximate Maximum Parsimony and Ancestral Maximum Likeliho... |
111
Voted
VTC
2006
IEEE
15 years 6 months ago
2006
IEEE
Abstract— This paper proposes a maximum likelihood detection (MLD) method for the differential space-time block code (DSTBC) in cooperation with blind linear prediction (BLP) of ...
106
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DSMML
2004
Springer
15 years 5 months ago
2004
Springer
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
AAAI
1998
15 years 1 months ago
1998
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
115
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ICONIP
2007
15 years 1 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
ESANN
2000
15 years 1 months ago
2000
Feed-forward neural networks (Multi-Layered Perceptrons) are used widely in real-world regression or classification tasks. A reliable and practical measure of prediction "conf...