1022 search results - page 42 / 205 » New models and algorithms for programmable networks |
166
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AAAI
2008
15 years 8 months ago
2008
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
171
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IEEEARES
2006
IEEE
16 years 5 days ago
2006
IEEE
A hybrid Bayesian Network (BN) is one that incorporates both discrete and continuous nodes. In our extensive applications of BNs for system dependability assessment the models are...
156
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
183
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ESANN
2006
15 years 7 months ago
2006
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
167
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GECCO
2009
Springer
16 years 21 days ago
2009
Springer
Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of ï¬...