Choosing Multiple Parameters for Support Vector Machines
Machine Learning
Gradient-Based Adaptation of General Gaussian Kernels
Neural Computation
Working Set Selection Using Second Order Information for Training Support Vector Machines
The Journal of Machine Learning Research
Covariance Matrix Adaptation for Multi-objective Optimization
Evolutionary Computation
Maximum-Gain Working Set Selection for SVMs
The Journal of Machine Learning Research
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Resilient approximation of kernel classifiers
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Recombination for Learning Strategy Parameters in the MO-CMA-ES
EMO '09 Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization
Uncertainty handling CMA-ES for reinforcement learning
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
pCMALib: a parallel fortran 90 library for the evolution strategy with covariance matrix adaptation
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Neuroevolution strategies for episodic reinforcement learning
Journal of Algorithms
Dlib-ml: A Machine Learning Toolkit
The Journal of Machine Learning Research
Improved step size adaptation for the MO-CMA-ES
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Efficient update of the covariance matrix inverse in iterated linear discriminant analysis
Pattern Recognition Letters
New uncertainty handling strategies in multi-objective evolutionary optimization
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
The logarithmic hypervolume indicator
Proceedings of the 11th workshop proceedings on Foundations of genetic algorithms
Building a side channel based disassembler
Transactions on computational science X
Real-time estimation of optical flow based on optimized haar wavelet features
EMO'11 Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
Evolving policies for multi-reward partially observable markov decision processes (MR-POMDPs)
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Instance-based parameter tuning for evolutionary AI planning
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Instance-based parameter tuning for evolutionary AI planning
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Improved working set selection for larank
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
An abstraction-refinement approach to verification of artificial neural networks
CAV'10 Proceedings of the 22nd international conference on Computer Aided Verification
NeVer: a tool for artificial neural networks verification
Annals of Mathematics and Artificial Intelligence
A comparison of evolutionary algorithms for automatic calibration of constrained cellular automata
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part I
A model for using machine learning in smart environments
GPC'11 Proceedings of the 6th international conference on Grid and Pervasive Computing
Meta-optimization for parameter tuning with a flexible computing budget
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Selection and scheduling problem in continuous time with pairwise-interdependencies
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part II
Challenging SMT solvers to verify neural networks
AI Communications - 18th RCRA International Workshop on “Experimental evaluation of algorithms for solving problems with combinatorial explosion”
Quantum control experiments as a testbed for evolutionary multi-objective algorithms
Genetic Programming and Evolvable Machines
Bob: a free signal processing and machine learning toolbox for researchers
Proceedings of the 20th ACM international conference on Multimedia
Optimizing cellular automata through a meta-model assisted memetic algorithm
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part II
Simple data-driven control for simulated bipeds
EUROSCA'12 Proceedings of the 11th ACM SIGGRAPH / Eurographics conference on Computer Animation
Simple data-driven control for simulated bipeds
Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Learn-and-Optimize: a parameter tuning framework for evolutionary AI planning
EA'11 Proceedings of the 10th international conference on Artificial Evolution
Liger: an open source integrated optimization environment
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Training restricted Boltzmann machines: An introduction
Pattern Recognition
Speeding up many-objective optimization by Monte Carlo approximations
Artificial Intelligence
Linear feature selection in texture analysis - A PLS based method
Machine Vision and Applications
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SHARK is an object-oriented library for the design of adaptive systems. It comprises methods for single- and multi-objective optimization (e.g., evolutionary and gradient-based algorithms) as well as kernel-based methods, neural networks, and other machine learning techniques.