536 search results - page 1 / 108 » The Optimality of Naive Bayes |
FLAIRS
2004
13 years 6 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...
ECML
2004
Springer
13 years 8 months ago
2004
Springer
It is well-known that naive Bayes performs surprisingly well in classification, but its probability estimation is poor. In many applications, however, a ranking based on class prob...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. Naive Bayes Nearest Neighbor (NBNN) is a feature-based image classifier that achieves impressive degree of accuracy [1] by exploiting ‘Image-toClass’ distances and b...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
RECOMB
2010
Springer
13 years 6 months ago
2010
Springer
Immense amounts of raw instrument data (i.e., images of fluorescence) are currently being generated using ultra high-throughput sequencing platforms. An important computational cha...