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Hyperparameter
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#	Item
1	Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Add to Reading List Source URL: arxiv.org - Date: 2016-11-23 20:48:17
2	Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures J. Bergstra Rowland Institute at Harvard 100 Edwin H. Land Boulevard Cambridge, MA 02142, USA Add to Reading List Source URL: jmlr.org - Date: 2013-08-14 01:36:42
3	An Efficient Approach for Assessing Hyperparameter Importance Frank Hutter University of Freiburg, Freiburg, GERMANY FH @ INFORMATIK . UNI - FREIBURG . DE Add to Reading List Source URL: www.cs.ubc.ca - Date: 2014-01-11 02:51:41
4	Efficient and Robust Automated Machine Learning Matthias Feurer Aaron Klein Katharina Eggensperger Jost Tobias Springenberg Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2016-01-30 21:34:03 Artificial intelligence Statistics Machine learning Model selection Statistical classification Ensemble learning Hyperparameter optimization Mathematical optimization Support vector machine Boosting Deep learning Weka
5	Despite the popularity and superior performance of Gaussian-kernel support vector machine (SVM), the two hyperparameters sigma (scale) and C (tradeoff) remain hard to be tuned. Many techniques have been developed to addr Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Statistical classification Statistics Multivariate statistics Data Support vector machine K-nearest neighbors algorithm Hyperparameter optimization Cross-validation
6	Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool arXiv:1607.08878v1 [cs.NE] 29 Jul 2016 Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-07-31 20:28:45 Artificial intelligence Machine learning Learning Mathematical optimization Model selection Ensemble learning Cybernetics Hyperparameter optimization Supervised learning Pipeline K-nearest neighbors algorithm Boosting
7	Speeding up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves Add to Reading List Source URL: ijcai.org Language: English - Date: 2016-02-13 07:15:40 Artificial intelligence Computational neuroscience Artificial neural networks Applied mathematics Cognitive science Machine learning Cybernetics Model selection Convolutional neural network Hyperparameter optimization Deep learning MNIST database
8	September 14, :56 WSPC - Proceedings Trim Size: 9.75in x 6.5in Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2009-12-21 01:59:54 Mathematical optimization Operations research Machine learning Statistical classification Support vector machine Positive-definite kernel Hyperparameter optimization Kernel method Constructible universe Dynamic programming Distribution
9	output/maye11bayesian.dvi Add to Reading List Source URL: europa.informatik.uni-freiburg.de Language: English - Date: 2012-02-24 09:20:37 Bayesian statistics Probability distributions Mixture model Posterior predictive distribution Hidden Markov model Normal distribution Hyperparameter Prior probability Dirichlet distribution RT Image segmentation Dirichlet-multinomial distribution
10	326 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 17, NO. 3, MARCH 2008 Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation Add to Reading List Source URL: decsai.ugr.es Language: English - Date: 2008-02-28 03:58:00 Statistics Statistical theory Bayesian statistics Conjugate prior Hyperprior Normal distribution Bayesian inference Hyperparameter Bayesian network Prior probability Hidden Markov model Maximum likelihood estimation

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