16 citations · 16 across the 1 of their papers we have counts for
4 papers · 1 filter
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification
Matthew Middlehurst, James Large, Gavin Cawley +1
Using bag of words representations of time series is a popular approach to time series classification. These algorithms involve approximating and discretising windows over a series…
Nested cross-validation when selecting classifiers is overzealous for most practical applications
Jacques Wainer, Gavin Cawley
When selecting a classification algorithm to be applied to a particular problem, one has to simultaneously select the best algorithm for that dataset \emph{and} the best set of hyp…
Is rotation forest the best classifier for problems with continuous features?
A. Bagnall, M. Flynn, J. Large +3
In short, our experiments suggest that yes, on average, rotation forest is better than the most common alternatives when all the attributes are real-valued. Rotation forest is a tr…
On the Use of Default Parameter Settings in the Empirical Evaluation of Classification Algorithms
Anthony Bagnall, Gavin C. Cawley
We demonstrate that, for a range of state-of-the-art machine learning algorithms, the differences in generalisation performance obtained using default parameter settings and using…