SHARK

SHARK. 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.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 15 articles , 1 standard article )

Showing results 1 to 15 of 15.
Sorted by year (citations)

  1. Krause, Oswin; Fischer, Asja; Igel, Christian: Algorithms for estimating the partition function of restricted Boltzmann machines (2020)
  2. Horn, Daniel; Demircioğlu, Aydın; Bischl, Bernd; Glasmachers, Tobias; Weihs, Claus: A comparative study on large scale kernelized support vector machines (2018)
  3. Doğan, Ürün; Glasmachers, Tobias; Igel, Christian: A unified view on multi-class support vector classification (2016)
  4. Wagner, Markus; Bringmann, Karl; Friedrich, Tobias; Neumann, Frank: Efficient optimization of many objectives by approximation-guided evolution (2015)
  5. Fischer, Asja; Igel, Christian: Training restricted Boltzmann machines: an introduction (2014)
  6. Bringmann, Karl; Friedrich, Tobias; Igel, Christian; Voß, Thomas: Speeding up many-objective optimization by Monte Carlo approximations (2013)
  7. Brügge, Kai; Fischer, Asja; Igel, Christian: The flip-the-state transition operator for restricted Boltzmann machines (2013)
  8. Pulina, Luca; Tacchella, Armando: Challenging SMT solvers to verify neural networks (2012)
  9. Stallkamp, J.; Schlipsing, M.; Salmen, J.; Igel, C.: Man vs. Computer: benchmarking machine learning algorithms for traffic sign recognition (2012) ioport
  10. Liefooghe, Arnaud; Jourdan, Laetitia; Talbi, El-Ghazali: A software framework based on a conceptual unified model for evolutionary multiobjective optimization: ParadisEO-MOEO (2011) ioport
  11. Pulina, Luca; Tacchella, Armando: \textscNeVer: a tool for artificial neural networks verification (2011)
  12. Merelo Guervós, Juan Julián; Castillo, Pedro A.; Alba, Enrique: Algorithm::Evolutionary, a flexible Perl module for evolutionary computation (2010) ioport
  13. Heidrich-Meisner, Verena; Igel, Christian: Neuroevolution strategies for episodic reinforcement learning (2009)
  14. Suttorp, Thorsten; Hansen, Nikolaus; Igel, Christian: Efficient covariance matrix update for variable metric evolution strategies (2009) ioport
  15. Igel, Christian; Heidrich-Meisner, Verena; Glasmachers, Tobias: \textttSHARK (2008)