# Jan Poland

According to our database

Collaborative distances:

^{1}, Jan Poland authored at least 34 papers between 2001 and 2020.Collaborative distances:

## Timeline

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## Bibliography

2020

Ancillary Services Provision Utilizing a Network of Fast-Charging Stations for Electrical Buses.

IEEE Trans. Smart Grid, 2020

2019

Learning to Compensate Photovoltaic Power Fluctuations from Images of the Sky by Imitating an Optimal Policy.

Proceedings of the 18th European Control Conference, 2019

2018

KloudNet: Deep Learning for Sky Image Analysis and Irradiance Forecasting.

Proceedings of the Pattern Recognition - 40th German Conference, 2018

2017

A Hybrid Approach for Stator Winding Design Optimization.

Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2017

2016

Bayesian optimization for maximum power point tracking in photovoltaic power plants.

Proceedings of the 2016 European Control Conference, 2016

2014

Bayesian model update in a horizon estimation framework.

Proceedings of the European Control Conference, 2014

Stochastic optimal planning of solar thermal power.

Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2011

Efficient Planning of Substation Automation System Cables.

Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2011

2008

Consistency of discrete Bayesian learning.

Theor. Comput. Sci., 2008

Nonstochastic bandits: Countable decision set, unbounded costs and reactive environments.

Theor. Comput. Sci., 2008

Controlling Model Trust with compactly Supported Smooth RBF.

Control. Intell. Syst., 2008

2006

Erratum to "Asymptotics of Discrete MDL for Online Prediction".

IEEE Trans. Information Theory, 2006

MDL convergence speed for Bernoulli sequences.

Statistics and Computing, 2006

Online Learning with Universal Model and Predictor Classes.

Proceedings of the 2006 IEEE Information Theory Workshop, 2006

Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts.

Proceedings of the Discovery Science, 9th International Conference, 2006

Recent Results in Universal and Non-Universal Induction.

Proceedings of the Kolmogorov Complexity and Applications, 29.01. - 03.02.2006, 2006

The Missing Consistency Theorem for Bayesian Learning: Stochastic Model Selection.

Proceedings of the Algorithmic Learning Theory, 17th International Conference, 2006

2005

Asymptotics of discrete MDL for online prediction.

IEEE Trans. Information Theory, 2005

Adaptive Online Prediction by Following the Perturbed Leader.

J. Mach. Learn. Res., 2005

Strong Asymptotic Assertions for Discrete MDL in Regression and Classification

CoRR, 2005

Universal Learning of Repeated Matrix Games

CoRR, 2005

Master Algorithms for Active Experts Problems based on Increasing Loss Values

CoRR, 2005

FPL Analysis for Adaptive Bandits.

Proceedings of the Stochastic Algorithms: Foundations and Applications, 2005

Defensive Universal Learning with Experts.

Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

2004

A coding theorem for Enumerable Output Machines.

Inf. Process. Lett., 2004

Explicit Local Models: Towards "Optimal" Optimization Algorithms.

Proceedings of the Machine Learning: ECML 2004, 2004

Convergence of Discrete MDL for Sequential Prediction.

Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004

On the Convergence Speed of MDL Predictions for Bernoulli Sequences.

Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004

Prediction with Expert Advice by Following the Perturbed Leader for General Weights.

Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004

2003

Finding smooth maps is NP-complete.

Inf. Process. Lett., 2003

2002

Memetic Algorithms For Combinatorial Optimization Problems In The Calibration Of Modern Combustion Engines.

Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Different criteria for active learning in neural networks: a comparative study.

Proceedings of the ESANN 2002, 2002

2001

Evolutionary Search for Smooth Maps in Motor Control Unit Calibration.

Proceedings of the Stochastic Algorithms: Foundations and Applications, 2001

On the Efficient Construction of Rectangular Grids from Given Data Points.

Proceedings of the Applications of Evolutionary Computing, 2001