166 search results - page 1 / 34 » Issues in evaluation of stream learning algorithms |
KDD
2009
ACM
13 years 9 months ago
2009
ACM
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
SAC
2009
ACM
13 years 12 months ago
2009
ACM
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
FIRBPERF
2005
IEEE
13 years 10 months ago
2005
IEEE
The main motivation for applying capacity planning techniques to the design of Internet-based video services is that very often these systems incur significant delays that decrea...
ICONIP
2009
13 years 2 months ago
2009
In contrast to traditional machine learning algorithms, where all data are available in batch mode, the new paradigm of streaming data poses additional difficulties, since data sam...
MIR
2005
ACM
13 years 10 months ago
2005
ACM
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...