1291 search results - page 79 / 259 » Learning Rules from Distributed Data |
186
Voted
MSR
2006
ACM
15 years 8 months ago
2006
ACM
With the advent of open source software repositories the data available for defect prediction in source files increased tremendously. Although traditional statistics turned out t...
117
Voted
NIPS
2007
15 years 4 months ago
2007
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
111
Voted
CIARP
2008
Springer
15 years 4 months ago
2008
Springer
The performance of supervised learners depends on the presence of a relatively large labeled sample. This paper proposes an automatic ongoing learning system, which is able to inco...
133
Voted
ISAMI
2010
14 years 9 months ago
2010
Abstract. In the present paper we describe IntelliDomo's learning model, an ontology-based expert system able to control a home automation system and to learn user's beha...
105
Voted
IPPS
2007
IEEE
15 years 9 months ago
2007
IEEE
Faults in distributed systems can result in errors that manifest in several ways, potentially even in parts of the system that are not collocated with the root cause. These manife...