<--- Back to Details
First PageDocument Content
Learning / Artificial neural network / Perceptron / Statistical classification / Pattern recognition / Artificial neuron / Backpropagation / Multilayer perceptron / Naive Bayes classifier / Neural networks / Statistics / Cybernetics
Date: 2013-02-23 11:52:35
Learning
Artificial neural network
Perceptron
Statistical classification
Pattern recognition
Artificial neuron
Backpropagation
Multilayer perceptron
Naive Bayes classifier
Neural networks
Statistics
Cybernetics

Add to Reading List

Source URL: www.idosi.org

Download Document from Source Website

File Size: 185,61 KB

Share Document on Facebook

Similar Documents

Artificial intelligence / Statistics / Machine learning / Nonparametric statistics / Statistical classification / Feature detection / Learning / Histogram / Naive Bayes classifier / Outline of object recognition / K-means clustering / Bag-of-words model

¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool

DocID: 1roMm - View Document

Statistical classification / Statistics / Data / Classifier chains / Multi-label classification / Multiclass classification / Support vector machine / Probabilistic classification / Classifier / Naive Bayes classifier / K-nearest neighbors algorithm

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 1 Multi-Dimensional Classification with Super-Classes Jesse Read, Concha Bielza, Member, IEEE, Pedro Larra˜naga, Member, IEEE,

DocID: 1rnBc - View Document

Statistics / Statistical classification / Multivariate statistics / Naive Bayes classifier / Bayesian network / Feature selection / Bayes classifier / Dependent and independent variables / Machine learning / Supervised learning / K-nearest neighbors algorithm

Air pollution prediction via multi-label classification Giorgio Corani and Mauro Scanagatta Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA) Scuola universitaria professionale della Svizzera italiana

DocID: 1rh6r - View Document

Machine learning / Artificial intelligence / Statistical classification / Learning / Ensemble learning / Cybernetics / Boosting / Support vector machine / Linear classifier / Naive Bayes classifier / Online machine learning / Generalization error

A Few Useful Things to Know about Machine Learning Pedro Domingos Department of Computer Science and Engineering University of Washington Seattle, WA, U.S.A.

DocID: 1rgDn - View Document

Statistical classification / Multi-label classification / Classifier chains / Support vector machine / Naive Bayes classifier / Classification / Cognition

Streaming Multi-label Classification Jesse Read† , Albert Bifet, Geoff Holmes, Bernhard Pfahringer University of Waikato, Hamilton, New Zealand †

DocID: 1rdzt - View Document