2610 search results - page 246 / 522 » Computational Probabilistic Non-interference |
109
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CSDA
2007
15 years 4 months ago
2007
Many probabilistic models are only defined up to a normalization constant. This makes maximum likelihood estimation of the model parameters very difficult. Typically, one then h...
164
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RSKT
2010
Springer
15 years 2 months ago
2010
Springer
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
169
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ICRA
2009
IEEE
15 years 1 months ago
2009
IEEE
In Simultaneous Localisation and Mapping (SLAM), it is well known that probabilistic filtering approaches which aim to estimate the robot and map state sequentially suffer from poo...
163
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BMCBI
2011
14 years 11 months ago
2011
Background: Methods of determining whether or not any particular HIV-1 sequence stems - completely or in part - from some unknown HIV-1 subtype are important for the design of vac...
252
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SADM
2010
14 years 11 months ago
2010
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...