Neural Computation
Efficient natural evolution strategies
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Exponential natural evolution strategies
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Modeling attacks on physical unclonable functions
Proceedings of the 17th ACM conference on Computer and communications security
Autonomous generation of internal representations for associative learning
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Multi-dimensional deep memory Atari-go players for parameter exploring policy gradients
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
High dimensions and heavy tails for natural evolution strategies
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Estimation of distribution algorithms: from available implementations to potential developments
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Heliza: talking dirty to the attackers
Journal in Computer Virology
Scikit-learn: Machine Learning in Python
The Journal of Machine Learning Research
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
The Journal of Machine Learning Research
Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning symbolic representations of hybrid dynamical systems
The Journal of Machine Learning Research
Orange: data mining toolbox in python
The Journal of Machine Learning Research
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PyBrain is a versatile machine learning library for Python. Its goal is to provide flexible, easy-to-use yet still powerful algorithms for machine learning tasks, including a variety of predefined environments and benchmarks to test and compare algorithms. Implemented algorithms include Long Short-Term Memory (LSTM), policy gradient methods, (multidimensional) recurrent neural networks and deep belief networks.