Support vector machine

Results: 2011



#Item
31Statistical classification / Learning / Data / Cognition / Support vector machine / Classifier / Margin classifier / K-nearest neighbors algorithm / Supervised learning / Naive Bayes classifier / Machine learning

Supervised Pattern Classification Using Optimum-Path Forest Jo˜ao Paulo Papa and Alexandre Xavier Falc˜ao University of Campinas Institute of Computing Campinas, S˜ao Paulo - Brazil {papa.joaopaulo,alexandre.falcao}@g

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Source URL: www.matmidia.mat.puc-rio.br

Language: English - Date: 2009-12-09 18:55:18
32Statistical classification / Machine learning / Learning / Artificial intelligence / Statistics / Multi-label classification / Support vector machine / Naive Bayes classifier / AdaBoost / Binary classification / Classifier chains / Multiclass classification

On-line Multi-label Classification A Problem Transformation Approach Jesse Read Supervisors: Bernhard Pfahringer, Geoff Holmes

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Source URL: users.ics.aalto.fi

Language: English - Date: 2010-10-25 05:10:52
33Natural language processing / Artificial intelligence / Machine learning / Cognitive science / Information technology / Statistical classification / Data mining / Support vector machine / Document classification / Document management system / Information extraction / Span and div

A Hybrid Strategy for Knowledge Extraction from Biomedical Documents Margherita Berardi Michelangelo Ceci Donato Malerba Dipartimento di Informatica - University of Bari Via Orabona 4, 70125 Bari, Italy

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Source URL: www.dsi.unifi.it

Language: English - Date: 2009-12-17 04:49:47
34Algebra / Mathematics / Numerical linear algebra / Linear algebra / Functional analysis / Statistical classification / Dimension reduction / Kernel / Support vector machine / Matrix / Low-rank approximation / Reproducing kernel Hilbert space

JMLR: Workshop and Conference Proceedings vol 40:1–29, 2015 On the Complexity of Learning with Kernels Nicol`o Cesa-Bianchi NICOLO . CESA - BIANCHI @ UNIMI . IT

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Source URL: jmlr.org

Language: English - Date: 2015-07-20 20:08:35
35Machine learning / Learning / Statistics / Artificial intelligence / Statistical classification / Model selection / Support vector machine / Cross-validation / K-nearest neighbors algorithm / Ensemble learning / Kernel method / Pattern recognition

Methods for Multi-Category Cancer Diagnosis from Gene Expression Data: A Comprehensive Evaluation to Inform Decision Support System Development Alexander Statnikov, Constantin F. Aliferis, Ioannis Tsamardinos Discovery S

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Source URL: www.dsl-lab.org

Language: English - Date: 2004-02-18 20:07:17
36Statistical classification / Artificial intelligence / Statistics / Learning / Machine learning / Pattern recognition / Support vector machine / Supervised learning / MNIST database / Linear discriminant analysis / Multiclass classification / Perceptron

Classification and Learning for Character Recognition: Comparison of Methods and Remaining Problems Cheng-Lin Liu National Laboratory of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences P.O

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Source URL: www.dsi.unifi.it

Language: English - Date: 2009-12-17 04:49:49
37Machine learning / Learning / Artificial intelligence / Structured prediction / Graphical models / Statistical classification / Conditional random field / Support vector machine / Multi-label classification / Gradient descent / Convex optimization / Mathematical optimization

Journal of Machine Learning ResearchSubmitted 8/13; PublishedPyStruct - Learning Structured Prediction in Python Andreas C. M¨

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Source URL: amueller.github.io

Language: English - Date: 2016-08-04 15:59:56
38Statistics / Regression analysis / Nonparametric statistics / Actuarial science / Statistical classification / Estimation theory / Logistic regression / Kinect / Variance function / Support vector machine / Prediction / K-nearest neighbors algorithm

Exemplar-Based Human Action Pose Correction and Tagging Wei Shen Ke Deng Xiang Bai

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Source URL: pages.ucsd.edu

Language: English - Date: 2012-04-22 01:00:06
39Artificial intelligence / Machine learning / Learning / Statistical classification / Pattern recognition / Support vector machine / Supervised learning / Artificial neural network / K-nearest neighbors algorithm / Deep learning / Boosting / Semi-supervised learning

Towards Open World Recognition Abhijit Bendale, Terrance Boult University of Colorado at Colorado Springs {abendale,tboult}@vast.uccs.edu Abstract

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Source URL: www.cv-foundation.org

Language: English - Date: 2015-05-25 21:18:31
40Machine learning / Statistical classification / Statistics / Artificial intelligence / Learning / Support vector machine / Recommender system / K-nearest neighbors algorithm / Naive Bayes classifier / Pattern recognition / Cross-validation / Classifier

“Why Should I Trust You?” Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh

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Source URL: sameersingh.org

Language: English - Date: 2016-08-18 16:00:00
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