5463 search results - page 52 / 1093 » Evaluating algorithms that learn from data streams |
145
Voted
ICMCS
2006
IEEE
15 years 9 months ago
2006
IEEE
Pattern mining algorithms are often much easier applied than quantitatively assessed. In this paper we address the pattern evaluation problem by looking at both the capability of ...
156
Voted
IEAAIE
2005
Springer
15 years 9 months ago
2005
Springer
Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor rea...
146
Voted
CIDM
2007
IEEE
15 years 7 months ago
2007
IEEE
Web-Streaming lectures overcome the space and time barriers between learning and teaching, but bring higher requirements on the learning feedback of students when they browse lectu...
131
Voted
ICDM
2009
IEEE
15 years 10 months ago
2009
IEEE
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
135
Voted
ECCC
2007
15 years 3 months ago
2007
We study the notion of learning in an oblivious changing environment. Existing online learning algorithms which minimize regret are shown to converge to the average of all locally...