| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A comparative study on large scale kernelized support vector machines
|
Horn, Daniel
|
|
2016
|
12 |
4 |
p. 867-883
|
artikel
|
| 2 |
A computationally fast variable importance test for random forests for high-dimensional data
|
Janitza, Silke
|
|
2016
|
12 |
4 |
p. 885-915
|
artikel
|
| 3 |
An efficient random forests algorithm for high dimensional data classification
|
Wang, Qiang
|
|
2018
|
12 |
4 |
p. 953-972
|
artikel
|
| 4 |
Ensemble feature selection for high dimensional data: a new method and a comparative study
|
Ben Brahim, Afef
|
|
2017
|
12 |
4 |
p. 937-952
|
artikel
|
| 5 |
Ensemble of a subset of kNN classifiers
|
Gul, Asma
|
|
2016
|
12 |
4 |
p. 827-840
|
artikel
|
| 6 |
Equi-Clustream: a framework for clustering time evolving mixed data
|
Sangam, Ravi Sankar
|
|
2018
|
12 |
4 |
p. 973-995
|
artikel
|
| 7 |
Rank-based classifiers for extremely high-dimensional gene expression data
|
Lausser, Ludwig
|
|
2016
|
12 |
4 |
p. 917-936
|
artikel
|
| 8 |
Special issue on “Science of big data: theory, methods and applications”
|
Kestler, Hans A.
|
|
2018
|
12 |
4 |
p. 823-825
|
artikel
|
| 9 |
Understanding non-linear modeling of measurement invariance in heterogeneous populations
|
Desa, Deana
|
|
2016
|
12 |
4 |
p. 841-865
|
artikel
|
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