References in zbMATH (referenced in 13 articles , 1 standard article )

Showing results 1 to 13 of 13.
Sorted by year (citations)

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