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» Classification Using a Hierarchical Bayesian Approach
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ACSAC
2003
IEEE
15 years 3 months ago
Bayesian Event Classification for Intrusion Detection
Intrusion detection systems (IDSs) attempt to identify attacks by comparing collected data to predefined signatures known to be malicious (misuse-based IDSs) or to a model of lega...
Christopher Krügel, Darren Mutz, William K. R...
ICMCS
2006
IEEE
142views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Hierarchical Genre Classification for Large Music Collections
The rapid progress in digital music distribution has lead to the creation of large collections of music. There is a need for content-based music classification methods to organiz...
Stefan Brecheisen, Hans-Peter Kriegel, Peter Kunat...
SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
15 years 1 months ago
Semantic Smoothing for Bayesian Text Classification with Small Training Data
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
PAMI
2006
147views more  PAMI 2006»
14 years 11 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani
ICML
2004
IEEE
16 years 15 days ago
Learning Bayesian network classifiers by maximizing conditional likelihood
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
Daniel Grossman, Pedro Domingos