5463 search results - page 41 / 1093 » Evaluating algorithms that learn from data streams |
80
Voted
CIS
2004
Springer
15 years 3 months ago
2004
Springer
Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...
166
Voted
GIS
2007
ACM
15 years 11 months ago
2007
ACM
We consider the problem of extracting a river network and a watershed hierarchy from a terrain given as a set of irregularly spaced points. We describe TerraStream, a "pipeli...
ICML
2007
IEEE
15 years 11 months ago
2007
IEEE
Many kernel learning methods have to assume parametric forms for the target kernel functions, which significantly limits the capability of kernels in fitting diverse patterns. Som...
ICDM
2005
IEEE
15 years 3 months ago
2005
IEEE
Frequent itemset mining is a core data mining operation and has been extensively studied over the last decade. This paper takes a new approach for this problem and makes two major...
ICMCS
2008
IEEE
15 years 4 months ago
2008
IEEE
We address the problem of keyword spotting in continuous speech streams when training and testing conditions can be different. We propose a keyword spotting algorithm based on spa...