Kristiaan Pelckmans

Moustafa Aboushady

Andreas Brosemyr

CoRR, 2021

A HPC Co-scheduler with Reinforcement Learning.

[BibT_eX]

[DOI]

Abel Souza

Johan Tordsson

Proceedings of the Job Scheduling Strategies for Parallel Processing, 2021

2020

Monitoring High-Frequency Data Streams in FinTech: FADO Versus $K$K-Means.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2020

Longitudinal Support Vector Machines for High Dimensional Time Series.

[BibT_eX]

[DOI]

Hong-Li Zeng

CoRR, 2020

APTER: Aggregated Prognosis Through Exponential Reweighting.

[BibT_eX]

[DOI]

Liu Yang

CoRR, 2020

ASA - The Adaptive Scheduling Architecture.

[BibT_eX]

[DOI]

Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

2019

Frequency conditions for stable networked controllers with time-delay.

[BibT_eX]

[DOI]

Torbjörn Wigren

Int. J. Control, 2019

APTER: Aggregated Prognosis Through Exponential Re-weighting.

[BibT_eX]

[DOI]

Yang Liu

Proceedings of the Computing and Combinatorics - 25th International Conference, 2019

2018

Worst-Case Prediction Performance Analysis of the Kalman Filter.

[BibT_eX]

[DOI]

Sholeh Yasini

IEEE Trans. Autom. Control., 2018

A stability criterion for switching Lur'e systems with switching-path restrictions.

[BibT_eX]

[DOI]

Autom., 2018

2017

FADO: A Deterministic Detection/Learning Algorithm.

[BibT_eX]

[DOI]

CoRR, 2017

2016

A Direct Proof of the Discrete-Time Multivariate Circle and Tsypkin Criteria.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2016

2015

System components of a general theory of software engineering.

[BibT_eX]

[DOI]

Anca-Juliana Stoica

William Rowe

Sci. Comput. Program., 2015

Identifiability and convergence analysis of the MINLIP estimator.

[BibT_eX]

[DOI]

Er-Wei Bai

Autom., 2015

On the nuclear norm heuristic for a Hankel matrix completion problem.

[BibT_eX]

[DOI]

Autom., 2015

Conditions for input-output stability of discrete-time Lur'e systems with time-varying delays.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Stability analysis of an adaptively sampled controller for SISO systems with nonlinear feedback.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

2014

On the Randomized Kaczmarz Algorithm.

[BibT_eX]

[DOI]

Mojtaba Soltanalian

IEEE Signal Process. Lett., 2014

Approximate adjoint-based iterative learning control.

[BibT_eX]

[DOI]

Bengt Carlsson

Int. J. Control, 2014

Asymmetric v-tube support vector regression.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2014

Sparse estimation from noisy observations of an overdetermined linear system.

[BibT_eX]

[DOI]

Autom., 2014

2013

Randomized Gossip Algorithms for Achieving Consensus on the Majority Vote.

[BibT_eX]

[DOI]

Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013

2012

On the Nuclear Norm heuristic for a Hankel matrix Recovery Problem

[BibT_eX]

[DOI]

CoRR, 2012

An ellipsoid based, two-stage screening test for BPDN.

[BibT_eX]

[DOI]

Proceedings of the 20th European Signal Processing Conference, 2012

2011

Sparse conjugate directions pursuit with application to fixed-size kernel models.

[BibT_eX]

[DOI]

Mach. Learn., 2011

Learning Transformation Models for Ranking and Survival Analysis.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

Improved performance on high-dimensional survival data by application of Survival-SVM.

[BibT_eX]

[DOI]

Bioinform., 2011

MINLIP for the identification of monotone Wiener systems.

[BibT_eX]

[DOI]

Autom., 2011

Support vector methods for survival analysis: a comparison between ranking and regression approaches.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2011

A simple recursive algorithm for learning a Monotone Wiener system.

[BibT_eX]

[DOI]

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

An Adaptive Compression Algorithm in a Deterministic World.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 2011

2010

Linear Systems, Sparse Solutions, and Sudoku.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2010

Efficient adaptive filtering for smooth linear FIR models.

[BibT_eX]

[DOI]

Toon van Waterschoot

Proceedings of the 18th European Signal Processing Conference, 2010

On the use of a clinical kernel in survival analysis.

[BibT_eX]

[DOI]

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Improved non-parametric sparse recovery with data matched penalties.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

On the identification of monotone Wiener systems.

[BibT_eX]

[DOI]

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009

Least conservative support and tolerance tubes.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2009

Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2009

MINLIP: Efficient Learning of Transformation Models.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2009

Transductively Learning from Positive Examples Only.

[BibT_eX]

[DOI]

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008

Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation.

[BibT_eX]

[DOI]

Marco Signoretto

Proceedings of the Artificial Neural Networks, 2008

Survival SVM: a practical scalable algorithm.

[BibT_eX]

[DOI]

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007

A Convex Approach to Validation-Based Learning of the Regularization Constant.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2007

Margin based Transductive Graph Cuts using Linear Programming.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Support and Quantile Tubes

[BibT_eX]

[DOI]

CoRR, 2007

A Risk Minimization Principle for a Class of Parzen Estimators.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Transductive Rademacher Complexities for Learning Over a Graph.

[BibT_eX]

[DOI]

Proceedings of the Mining and Learning with Graphs, 2007

Fixed-size kernel logistic regression for phoneme classification.

[BibT_eX]

[DOI]

Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007

Multi-class kernel logistic regression: a fixed-size implementation.

[BibT_eX]

[DOI]

Peter Karsmakers

Proceedings of the International Joint Conference on Neural Networks, 2007

Convex optimization for the design of learning machines.

[BibT_eX]

[DOI]

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006

Additive Regularization Trade-Off: Fusion of Training and Validation Levels in Kernel Methods.

[BibT_eX]

[DOI]

Mach. Learn., 2006

2005

Subspace identification of Hammerstein systems using least squares support vector machines.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2005

Primal-Dual Monotone Kernel Regression.

[BibT_eX]

[DOI]

Neural Process. Lett., 2005

Handling missing values in support vector machine classifiers.

[BibT_eX]

[DOI]

Neural Networks, 2005

Building sparse representations and structure determination on LS-SVM substrates.

[BibT_eX]

[DOI]

Neurocomputing, 2005

The differogram: Non-parametric noise variance estimation and its use for model selection.

[BibT_eX]

[DOI]

Neurocomputing, 2005

Componentwise Least Squares Support Vector Machines

[BibT_eX]

[DOI]

CoRR, 2005

Identification of MIMO Hammerstein models using least squares support vector machines.

[BibT_eX]

[DOI]

Autom., 2005

Maximal variation and missing values for componentwise support vector machines.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Joint Conference on Neural Networks, 2005

Componentwise Support Vector Machines for Structure Detection.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

On Model Complexity Control in Identification of Hammerstein Systems.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Subspace intersection identification of Hammerstein-Wiener systems.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004

Regularization constants in LS-SVMs: a fast estimate via convex optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Joint Conference on Neural Networks, 2004

Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 11th International Conference, 2004

Sparse LS-SVMs using additive regularization with a penalized validation criterion.

[BibT_eX]

[DOI]