Algorithm selection

Results: 425



#Item
91Machine learning / Information science / Dimension reduction / Feature selection / Model selection / Supervised learning / Pattern recognition / Relevance / Algorithm / Science / Statistics / Knowledge

Artificial Intelligence ELSEVIER Artificial

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Source URL: ai.stanford.edu

Language: English - Date: 2010-10-25 23:26:18
92Scientific method / Protein structure / Electron beam / Electron microscopy / Transmission electron microscopy / Cryo-electron microscopy / Defocus aberration / Electron / Algorithm / Physics / Microscopes / Science

Automatic Particle Selection: Results of A Comparative Study Yuanxin Zhu1, Bridget Carragher1, Robert M. Glaeser2, Denis Fellmann1, Chandrajit Bajaj3, Marshall Bern4, Fabrice Mouche1, Felix de Haas5, Richard J. Hall6, D

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Source URL: vision.ucsd.edu

Language: English
93Dimension reduction / Feature selection / Model selection / Object recognition / Algorithm / Gradient boosting / Support vector machine / Statistics / Machine learning / Artificial intelligence

Cross-Age Face Verification by Coordinating with Cross-Face Age Verification Liang Du Haibin Ling∗ Department of Computer and Information Sciences, Temple University, Philadelphia, USA {liang.du, hbling}@temple.edu

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Source URL: www.dabi.temple.edu

Language: English - Date: 2015-04-10 21:24:24
94Scientific method / Protein structure / Electron beam / Electron microscopy / Transmission electron microscopy / Cryo-electron microscopy / Defocus aberration / Electron / Algorithm / Physics / Microscopes / Science

Automatic Particle Selection: Results of A Comparative Study Yuanxin Zhu1, Bridget Carragher1, Robert M. Glaeser2, Denis Fellmann1, Chandrajit Bajaj3, Marshall Bern4, Fabrice Mouche1, Felix de Haas5, Richard J. Hall6, D

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Source URL: vision.ucsd.edu

Language: English - Date: 2004-01-28 17:58:59
95Statistical models / Bayesian networks / Learning / Expectation–maximization algorithm / Canadian Institute for Advanced Research / Supervised learning / Unsupervised learning / Feature selection / Latent variable / Statistics / Machine learning / Cybernetics

Large-Scale Feature Learning With Spike-and-Slab Sparse Coding Ian J. Goodfellow Aaron Courville Yoshua Bengio DIRO, Universit´e de Montr´eal, Montr´eal, Qu´ebec, Canada

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Source URL: icml.cc

Language: English - Date: 2012-06-07 13:20:32
96Population genetics / Selection / Shifting balance theory / Sewall Wright / Genetic algorithm / Fitness landscape / Evolution / Natural selection / Group selection / Evolutionary biology / Biology / Philosophy of biology

Parallel Experimentation: A Basic Scheme for Dynamic Efficiency David Ellerman Economics Department University of California at Riverside and www.ellerman.org

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Source URL: www.ellerman.org

Language: English - Date: 2009-12-01 11:55:17
97Population genetics / Selection / Evolutionary dynamics / Genetics / Genetic algorithm / Natural selection / Group selection / Mutation / Unit of selection / Evolutionary biology / Biology / Philosophy of biology

ARTICLE IN PRESS Journal of Theoretical Biology–422 Contents lists available at ScienceDirect Journal of Theoretical Biology

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Source URL: www.weizmann.ac.il

Language: English - Date: 2009-10-26 10:10:28
98Rectangle / Linear programming / Golden ratio / Geometry / Mathematics / Bin

1 An Exact Algorithm Optimizing Coverage-Resolution for Automated Satellite Frame Selection Dezhen Song† , A. Frank van der Stappen‡ , Ken Goldberg§

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Source URL: www.ieor.berkeley.edu

Language: English - Date: 2004-02-04 05:03:05
99Analysis of algorithms / Time complexity / Algorithm / Selection algorithm / SL / Theoretical computer science / Computational complexity theory / Applied mathematics

CCCG 2007, Ottawa, Ontario, August 20–22, 2007 On a geometric approach to the segment sum problem and its generalization Asish Mukhopadhyay ∗†

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Source URL: cccg.ca

Language: English - Date: 2008-10-28 21:26:37
100Applied mathematics / Linear classifier / Ensemble learning / Time complexity / Support vector machine / Algorithm / Computational complexity theory / Stability / Boosting methods for object categorization / Machine learning / Statistics / Statistical classification

Linear Time Nonparametric Classification and Feature Selection with Polynomial MPMC Cascades for large datasets Markus Breitenbach1 , Sander M. Bohte1,2 , and Gregory Z. Grudic1 1

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Source URL: markus-breitenbach.com

Language: English - Date: 2004-06-24 11:16:08
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