144 search results - page 1 / 29 » A Multistrategy Approach to Classifier Learning from Time Se... |
ML
2000
ACM
13 years 4 months ago
2000
ACM
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
ISNN
2011
Springer
12 years 7 months ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
ILP
2000
Springer
13 years 8 months ago
2000
Springer
A method for learning multivariate time series classifiers by inductive logic programming is presented. Two types of background predicate that are suited for this task are introduc...
MCS
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. We describe an ensemble of classifiers based algorithm for incremental learning in nonstationary environments. In this formulation, we assume that the learner is presente...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
The problem of time series classification has attracted great interest in the last decade. However current research assumes the existence of large amounts of labeled training data...