| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes
|
Petitjean, François
|
|
2018
|
107 |
8-10 |
p. 1303-1331
|
artikel
|
| 2 |
A distributed Frank–Wolfe framework for learning low-rank matrices with the trace norm
|
Zheng, Wenjie
|
|
2018
|
107 |
8-10 |
p. 1457-1475
|
artikel
|
| 3 |
A new method of moments for latent variable models
|
Ruffini, Matteo
|
|
2018
|
107 |
8-10 |
p. 1431-1455
|
artikel
|
| 4 |
An online prediction algorithm for reinforcement learning with linear function approximation using cross entropy method
|
Joseph, Ajin George
|
|
2018
|
107 |
8-10 |
p. 1385-1429
|
artikel
|
| 5 |
Approximate structure learning for large Bayesian networks
|
Scanagatta, Mauro
|
|
2018
|
107 |
8-10 |
p. 1209-1227
|
artikel
|
| 6 |
Deep Gaussian Process autoencoders for novelty detection
|
Domingues, Rémi
|
|
2018
|
107 |
8-10 |
p. 1363-1383
|
artikel
|
| 7 |
Global multi-output decision trees for interaction prediction
|
Pliakos, Konstantinos
|
|
2018
|
107 |
8-10 |
p. 1257-1281
|
artikel
|
| 8 |
Guest editors introduction to the special issue for the ECML PKDD 2018 journal track
|
Davis, Jesse
|
|
2018
|
107 |
8-10 |
p. 1207-1208
|
artikel
|
| 9 |
High-dimensional penalty selection via minimum description length principle
|
Miyaguchi, Kohei
|
|
2018
|
107 |
8-10 |
p. 1283-1302
|
artikel
|
| 10 |
Inverse reinforcement learning from summary data
|
Kangasrääsiö, Antti
|
|
2018
|
107 |
8-10 |
p. 1517-1535
|
artikel
|
| 11 |
Learning from binary labels with instance-dependent noise
|
Menon, Aditya Krishna
|
|
2018
|
107 |
8-10 |
p. 1561-1595
|
artikel
|
| 12 |
Local contrast as an effective means to robust clustering against varying densities
|
Chen, Bo
|
|
2018
|
107 |
8-10 |
p. 1621-1645
|
artikel
|
| 13 |
ML-Plan: Automated machine learning via hierarchical planning
|
Mohr, Felix
|
|
2018
|
107 |
8-10 |
p. 1495-1515
|
artikel
|
| 14 |
On the effectiveness of heuristics for learning nested dichotomies: an empirical analysis
|
Melnikov, Vitalik
|
|
2018
|
107 |
8-10 |
p. 1537-1560
|
artikel
|
| 15 |
Optimizing non-decomposable measures with deep networks
|
Sanyal, Amartya
|
|
2018
|
107 |
8-10 |
p. 1597-1620
|
artikel
|
| 16 |
Output Fisher embedding regression
|
Djerrab, Moussab
|
|
2018
|
107 |
8-10 |
p. 1229-1256
|
artikel
|
| 17 |
Similarity encoding for learning with dirty categorical variables
|
Cerda, Patricio
|
|
2018
|
107 |
8-10 |
p. 1477-1494
|
artikel
|
| 18 |
Stagewise learning for noisy k-ary preferences
|
Pan, Yuangang
|
|
2018
|
107 |
8-10 |
p. 1333-1361
|
artikel
|
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