Works matching IS 08856125 AND DT 2020 AND VI 109 AND IP 9/10
Results: 12
Introduction to the special issue of the ECML PKDD 2020 journal track.
- Published in:
- 2020
- By:
- Publication type:
- Editorial
Skew Gaussian processes for classification.
- Published in:
- Machine Learning, 2020, v. 109, n. 9/10, p. 1877, doi. 10.1007/s10994-020-05906-3
- By:
- Publication type:
- Article
Weak approximation of transformed stochastic gradient MCMC.
- Published in:
- Machine Learning, 2020, v. 109, n. 9/10, p. 1903, doi. 10.1007/s10994-020-05904-5
- By:
- Publication type:
- Article
Ada-boundary: accelerating DNN training via adaptive boundary batch selection.
- Published in:
- Machine Learning, 2020, v. 109, n. 9/10, p. 1837, doi. 10.1007/s10994-020-05903-6
- By:
- Publication type:
- Article
Fast greedy C-bound minimization with guarantees.
- Published in:
- Machine Learning, 2020, v. 109, n. 9/10, p. 1945, doi. 10.1007/s10994-020-05902-7
- By:
- Publication type:
- Article
A decision-theoretic approach for model interpretability in Bayesian framework.
- Published in:
- Machine Learning, 2020, v. 109, n. 9/10, p. 1855, doi. 10.1007/s10994-020-05901-8
- By:
- Publication type:
- Article
Imbalanced regression and extreme value prediction.
- Published in:
- Machine Learning, 2020, v. 109, n. 9/10, p. 1803, doi. 10.1007/s10994-020-05900-9
- By:
- Publication type:
- Article
High-dimensional Bayesian optimization using low-dimensional feature spaces.
- Published in:
- Machine Learning, 2020, v. 109, n. 9/10, p. 1925, doi. 10.1007/s10994-020-05899-z
- By:
- Publication type:
- Article
Using error decay prediction to overcome practical issues of deep active learning for named entity recognition.
- Published in:
- Machine Learning, 2020, v. 109, n. 9/10, p. 1749, doi. 10.1007/s10994-020-05897-1
- By:
- Publication type:
- Article
Learning representations from dendrograms.
- Published in:
- Machine Learning, 2020, v. 109, n. 9/10, p. 1779, doi. 10.1007/s10994-020-05895-3
- By:
- Publication type:
- Article
Improving coordination in small-scale multi-agent deep reinforcement learning through memory-driven communication.
- Published in:
- Machine Learning, 2020, v. 109, n. 9/10, p. 1727, doi. 10.1007/s10994-019-05864-5
- By:
- Publication type:
- Article
Active deep Q-learning with demonstration.
- Published in:
- Machine Learning, 2020, v. 109, n. 9/10, p. 1699, doi. 10.1007/s10994-019-05849-4
- By:
- Publication type:
- Article