Linear classifier

Results: 393



#Item
41An Analysis of Single-Layer Networks in Unsupervised Feature Learning Adam Coates Stanford University Computer Science Dept.

An Analysis of Single-Layer Networks in Unsupervised Feature Learning Adam Coates Stanford University Computer Science Dept.

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Source URL: ai.stanford.edu

Language: English - Date: 2014-06-02 17:06:00
42Weakly supervised named entity classification  Edouard Grave EECS Department UC Berkeley

Weakly supervised named entity classification Edouard Grave EECS Department UC Berkeley

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Source URL: www.akbc.ws

Language: English - Date: 2015-04-02 16:06:46
43Artificial Intelligence in Medicine–91  Contents lists available at ScienceDirect Artificial Intelligence in Medicine journal homepage: www.elsevier.com/locate/aiim

Artificial Intelligence in Medicine–91 Contents lists available at ScienceDirect Artificial Intelligence in Medicine journal homepage: www.elsevier.com/locate/aiim

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Source URL: thomastriplet.net

Language: English - Date: 2013-04-10 09:21:06
44On Adaptive Confidences for Critic-Driven Classifier Combining Matti Aksela and Jorma Laaksonen Neural Networks Research Centre Laboratory of Computer and Information Science P.O.Box 5400, FinHUT, Finland

On Adaptive Confidences for Critic-Driven Classifier Combining Matti Aksela and Jorma Laaksonen Neural Networks Research Centre Laboratory of Computer and Information Science P.O.Box 5400, FinHUT, Finland

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Source URL: www.cis.hut.fi

Language: English - Date: 2006-05-30 07:20:35
45Christian Igel  Machine Learning: Kernel-based Methods Lecture Notes Version 0.3.0

Christian Igel Machine Learning: Kernel-based Methods Lecture Notes Version 0.3.0

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Source URL: image.diku.dk

Language: English - Date: 2014-05-06 10:23:11
46Domain Adaptation with Good Edit Similarities: a Sparse Way to deal with Scaling and Rotation Problems in Image Classification Amaury Habrard University of Aix-Marseille Laboratoire d’Informatique Fondamentale UMR CNRS

Domain Adaptation with Good Edit Similarities: a Sparse Way to deal with Scaling and Rotation Problems in Image Classification Amaury Habrard University of Aix-Marseille Laboratoire d’Informatique Fondamentale UMR CNRS

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Source URL: laboratoirehubertcurien.fr

Language: English - Date: 2011-11-16 02:20:36
47Statistical Learning, FallAssignment 2: Classification The purpose of this exercise is to compare the Naive Bayes (NB) model to Logistic Regression (LR) on data with categorical attributes. We will first train/fit

Statistical Learning, FallAssignment 2: Classification The purpose of this exercise is to compare the Naive Bayes (NB) model to Logistic Regression (LR) on data with categorical attributes. We will first train/fit

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Source URL: www.timvanerven.nl

Language: English - Date: 2014-12-05 11:38:24
48Journal of Machine Learning Research–1619  Submitted 3/05; Published 9/05 Fast Kernel Classifiers with Online and Active Learning

Journal of Machine Learning Research–1619 Submitted 3/05; Published 9/05 Fast Kernel Classifiers with Online and Active Learning

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Source URL: www.jmlr.org

Language: English - Date: 2005-09-27 11:30:43
49VISI561_source.nohead.pdf

VISI561_source.nohead.pdf

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Source URL: www.tiberiocaetano.com

Language: English - Date: 2013-11-07 07:12:56
50Foundation of Intelligent Systems, Part I Classification   FIS

Foundation of Intelligent Systems, Part I Classification FIS

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Source URL: www.iip.ist.i.kyoto-u.ac.jp

Language: English - Date: 2012-04-30 21:20:16