The SHOGUN Machine Learning Toolbox

By Sören Sonnenburg, Gunnar Rätsch, S. Henschel, Christian Widmer, Jonas Behr, Alexander Zien, Fabio De Bona, Alexander Binder, Christian Gehl, Vojtech Franc. 2010

306 citations recorded by the source corpus.

Subfields: ML Systems & Hardware

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In ML Systems & Hardware

Citations in the corpus

On the Error of Random Fourier Features (2015, background): “Practically, we are aware of three implementations in machine learning libraries, each of which use ˘ z at the time of writing: scikit-learn (Pedregosa et al. 2011), Shogun (Sonnenburg et al. 2010), and JSAT (Raff 2011-15).”
Learning hierarchical representations for face verification with convolutional deep belief networks (2012, methodology): “To solve the SVM, we use the Shogun Toolbox [35].”
Optimization for machine learning (2010, methodology): “We provide efficient implementations of MKL in the SHOGUN machine learning toolbox (Sonnenburg et al., 2010).”
A framework for improved video text detection and recognition (2012, methodology): “4http://www.yovisto.com/labs/VideoOCR/ (last access: 14/09/2012) Table 4 Text detection results using pixel-based evaluation without machine learning-based verification Test set Recall Precision F1 measure Microsoft common test set 0.92 0.90 0.91 German TV news 0.84 0.87 0.85 YouTube video 0.85 0.78”
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning (2016, background): “Up to our knowledge, however, there is no python toolbox allowing such processing while cutting edge machine learning toolboxes are available (Pedregosa et al., 2011; Sonnenburg et al., 2010).”
l p -Norm Multiple Kernel Learning (2011, methodology): “(2009a), within the SHOGUN toolbox (Sonnenburg et al., 2010) for regression, one-class classification, and two-class classification tasks.”
Enhanced Regulatory Sequence Prediction Using Gapped k-mer Features (2014, methodology): “We used Shogun Machine Learning Toolbox [32] and SVM-light [33] for the SVM training script.”
Selective Search for Object Recognition (2013, unknown): “As classifier we employ a Support Vector Machine with a histogram intersection kernel using the Shogun Toolbox [28].”
Enhanced representation and multi-task learning for image annotation (2013, methodology): “For details on the solution of this optimization problem and its primal form we refer to [36] and the SHOGUN package [39].”
Risk-Averse Bayes-Adaptive Reinforcement Learning (2021, methodology): “The Shogun Machine Learning toolbox [40] was used for GP regression.”