4947 search results - page 141 / 990 » Learning Module Networks |
134
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MOBIHOC
2012
ACM
13 years 5 months ago
2012
ACM
In this paper, we characterize the throughput of a broadcast network with n receivers using rateless codes with block size K. We assume that the underlying channel is a Markov mod...
ICALT
2003
IEEE
15 years 7 months ago
2003
IEEE
The different ways in which concepts within computer networks are understood by master level students who take an internationally distributed project-based course have been identi...
125
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ESANN
2008
15 years 4 months ago
2008
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
115
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RECOMB
2008
Springer
16 years 2 months ago
2008
Springer
We developed Gr?mlin 2.0, a new multiple network aligner with (1) a novel scoring function that can use arbitrary features of a multiple network alignment, such as protein deletion...
125
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NN
1997
Springer
15 years 6 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...