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2008 JMLR JMLR 2008

Shark

Abstract

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. [abs] [ pdf ][ bib ] [ code ] © JMLR 2008. (edit, beta)

🧭 Keyword Pioneer — evolutionary algorithm
🐣 Hot Topic Early Bird — multi-objective optimization
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Christian Igel , Verena Heidrich-Meisner , Tobias Glasmachers

Topics

Machine Learning > Optimization & Theory > Optimization

Keywords

multi-objective optimization evolutionary algorithm machine learning library kernel methods neural network
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