253 search results - page 37 / 51 » Learning Bayesian Networks by Evolution for Classifier Combi... |
WEA
2010
Springer
13 years 5 months ago
2010
Springer
Classifying network flows by their application type is the backbone of many crucial network monitoring and controlling tasks, including billing, quality of service, security and tr...
DMKD
1999
ACM
14 years 3 days ago
1999
ACM
We investigate the relationship between association and classification mining. The main issue in association mining is the discovery of interesting patterns of the data, so called...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
AAAI
2000
13 years 9 months ago
2000
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...