872 search results - page 137 / 175 » Hybrid Learning Scheme for Data Mining Applications |
ESA
2004
Springer
14 years 1 months ago
2004
Springer
Many network applications that need to distribute content and data to a large number of clients use a hybrid scheme in which one (or more) multicast channel is used in parallel to...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
We consider the problem of releasing a limited public view of a sensitive graph which reveals at least k edges per node. We are motivated by Facebook’s public search listings, w...
FLAIRS
2004
13 years 9 months ago
2004
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
ICDM
2010
IEEE
13 years 6 months ago
2010
IEEE
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
NN
2010
Springer
13 years 6 months ago
2010
Springer
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...