Poisson Dependency Networks: Gradient Boosted Models for Multivariate Count Data.
- Published in:
- Machine Learning, 2015, v. 100, n. 2-3, p. 477, doi. 10.1007/s10994-015-5506-z
- By:
- Publication type:
- Article
Works matching IS 08856125 AND DT 2015 AND VI 100 AND IP 2-3
Results: 21
1
2
Soft-max boosting.
- Published in:
- Machine Learning, 2015, v. 100, n. 2-3, p. 305, doi. 10.1007/s10994-015-5491-2
- By:
- Publication type:
- Article
3
Consensus hashing.
- Published in:
- Machine Learning, 2015, v. 100, n. 2-3, p. 379, doi. 10.1007/s10994-015-5496-x
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- Publication type:
- Article
4
Generalized Twin Gaussian processes using Sharma-Mittal divergence.
- Published in:
- Machine Learning, 2015, v. 100, n. 2-3, p. 399, doi. 10.1007/s10994-015-5497-9
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- Publication type:
- Article
5
A decomposition of the outlier detection problem into a set of supervised learning problems.
- Published in:
- Machine Learning, 2015, v. 100, n. 2-3, p. 509, doi. 10.1007/s10994-015-5507-y
- By:
- Publication type:
- Article
6
Convex relaxations of penalties for sparse correlated variables with bounded total variation.
- Published in:
- Machine Learning, 2015, v. 100, n. 2-3, p. 533, doi. 10.1007/s10994-015-5511-2
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- Publication type:
- Article
7
Incremental learning of event definitions with Inductive Logic Programming.
- Published in:
- Machine Learning, 2015, v. 100, n. 2-3, p. 555, doi. 10.1007/s10994-015-5512-1
- By:
- Publication type:
- Article
8
Learning from evolving video streams in a multi-camera scenario.
- Published in:
- Machine Learning, 2015, v. 100, n. 2-3, p. 609, doi. 10.1007/s10994-015-5515-y
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- Publication type:
- Article
9
Regularized feature selection in reinforcement learning.
- Published in:
- Machine Learning, 2015, v. 100, n. 2-3, p. 655, doi. 10.1007/s10994-015-5518-8
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- Publication type:
- Article
10
Learning relational dependency networks in hybrid domains.
- Published in:
- Machine Learning, 2015, v. 100, n. 2-3, p. 217, doi. 10.1007/s10994-015-5483-2
- By:
- Publication type:
- Article
11
Generalization bounds for learning with linear, polygonal, quadratic and conic side knowledge.
- Published in:
- Machine Learning, 2015, v. 100, n. 2-3, p. 183, doi. 10.1007/s10994-014-5478-4
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- Publication type:
- Article
12
Policy gradient in Lipschitz Markov Decision Processes.
- Published in:
- Machine Learning, 2015, v. 100, n. 2-3, p. 255, doi. 10.1007/s10994-015-5484-1
- By:
- Publication type:
- Article
13
A Bayesian approach for comparing cross-validated algorithms on multiple data sets.
- Published in:
- Machine Learning, 2015, v. 100, n. 2-3, p. 285, doi. 10.1007/s10994-015-5486-z
- By:
- Publication type:
- Article
14
Minimum message length estimation of mixtures of multivariate Gaussian and von Mises-Fisher distributions.
- Published in:
- Machine Learning, 2015, v. 100, n. 2-3, p. 333, doi. 10.1007/s10994-015-5493-0
- By:
- Publication type:
- Article
15
Guest Editors introduction: special issue of the ECMLPKDD 2015 journal track.
- Published in:
- 2015
- By:
- Publication type:
- Editorial
16
Optimised probabilistic active learning (OPAL).
- Published in:
- Machine Learning, 2015, v. 100, n. 2-3, p. 449, doi. 10.1007/s10994-015-5504-1
- By:
- Publication type:
- Article
17
Generalized gradient learning on time series.
- Published in:
- Machine Learning, 2015, v. 100, n. 2-3, p. 587, doi. 10.1007/s10994-015-5513-0
- By:
- Publication type:
- Article
18
Probabilistic clustering of time-evolving distance data.
- Published in:
- Machine Learning, 2015, v. 100, n. 2-3, p. 635, doi. 10.1007/s10994-015-5516-x
- By:
- Publication type:
- Article
19
Half-space mass: a maximally robust and efficient data depth method.
- Published in:
- Machine Learning, 2015, v. 100, n. 2-3, p. 677, doi. 10.1007/s10994-015-5524-x
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- Publication type:
- Article
20
Improving classification performance through selective instance completion.
- Published in:
- Machine Learning, 2015, v. 100, n. 2-3, p. 425, doi. 10.1007/s10994-015-5500-5
- By:
- Publication type:
- Article
21
Direct conditional probability density estimation with sparse feature selection.
- Published in:
- Machine Learning, 2015, v. 100, n. 2-3, p. 161, doi. 10.1007/s10994-014-5472-x
- By:
- Publication type:
- Article