| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A constrained matrix-variate Gaussian process for transposable data
|
Koyejo, Oluwasanmi
|
|
2014
|
97 |
1-2 |
p. 103-127
|
artikel
|
| 2 |
A theoretical and empirical analysis of support vector machine methods for multiple-instance classification
|
Doran, Gary
|
|
2013
|
97 |
1-2 |
p. 79-102
|
artikel
|
| 3 |
Collaborative filtering with information-rich and information-sparse entities
|
Zhu, Kai
|
|
2014
|
97 |
1-2 |
p. 177-203
|
artikel
|
| 4 |
Guest Editors’ introduction: special issue of the ECML/PKDD 2014 journal track
|
Calders, Toon
|
|
2014
|
97 |
1-2 |
p. 1-3
|
artikel
|
| 5 |
Learning a priori constrained weighted majority votes
|
Bellet, Aurélien
|
|
2014
|
97 |
1-2 |
p. 129-154
|
artikel
|
| 6 |
Leave-one-out cross-validation is risk consistent for lasso
|
Homrighausen, Darren
|
|
2014
|
97 |
1-2 |
p. 65-78
|
artikel
|
| 7 |
On combining machine learning with decision making
|
Tulabandhula, Theja
|
|
2014
|
97 |
1-2 |
p. 33-64
|
artikel
|
| 8 |
Regression conformal prediction with random forests
|
Johansson, Ulf
|
|
2014
|
97 |
1-2 |
p. 155-176
|
artikel
|
| 9 |
SAGA: sparse and geometry-aware non-negative matrix factorization through non-linear local embedding
|
Courty, Nicolas
|
|
2014
|
97 |
1-2 |
p. 205-226
|
artikel
|
| 10 |
The bane of skew
|
Lampert, Thomas A.
|
|
2014
|
97 |
1-2 |
p. 5-32
|
artikel
|
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