704 search results - page 67 / 141 » Exploiting Data Missingness in Bayesian Network Modeling |
84
Voted
ICDM
2005
IEEE
15 years 6 months ago
2005
IEEE
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
110
Voted
OSDI
2004
ACM
16 years 28 days ago
2004
ACM
This paper studies the use of statistical induction techniques as a basis for automated performance diagnosis and performance management. The goal of the work is to develop and ev...
129
Voted
ICML
2000
IEEE
16 years 1 months ago
2000
IEEE
We consider the problem of unsupervised classification of temporal sequences of facial expressions in video. This problem arises in the design of an adaptive visual agent, which m...
135
Voted
ACSAC
2003
IEEE
15 years 4 months ago
2003
IEEE
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...
101
Voted
KDD
1999
ACM
15 years 4 months ago
1999
ACM
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...