773 search results - page 85 / 155 » Traversing the Machining Graph |
102
click to vote
MLDM
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...
142
click to vote
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
EDBT
2006
ACM
15 years 10 months ago
2006
ACM
The need of processing graph reachability queries stems from many applications that manage complex data as graphs. The applications include transportation network, Internet traffic...
SC
2009
ACM
15 years 4 months ago
2009
ACM
Large graph analysis has become increasingly important and is widely used in many applications such as web mining, social network analysis, biology, and information retrieval. The...
CORR
2007
Springer
14 years 9 months ago
2007
Springer
Motivated by applications in grid computing and projects management, we study multiprocessor scheduling in scenarios where there is uncertainty in the successful execution of jobs...