تگ classifier

جزئیات خدمات ترجمه در ترجمه تخصصی

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بخش 4
Pattern Recognition Letters 37 (2014) 32–40
Sensors 2012, 12 1238
Lung Cancer Diagnosis using MR Imaging Abstract Accurate diagnosis of
World Placer Journal – 2007, Volume 7, pages 66-161. www.mine.mn
World Placer Journal – 2007, Volume 7, pages 66-161. www.mine.mn
950 IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 21, NO. 5, OCTOBER 2013
418 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS, VOL. 22, NO. 3, MAYIJUNE 1992
418 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS, VOL. 22, NO. 3, MAYIJUNE 1992
Contents
Expert Systems with Applications 38 (2011) 3407–3415
and machine learning The simplest AI applications can be divided
Classifiers and statistical learning methods The simplest AI applications can
Classifiers and statistical learning methods The simplest AI applications can
Classifiers and statistical learning methods The simplest AI applications can
Ensemble classifier for mining data streams Abstract The problem addressed
Multi-hypothesis nearest-neighbor classiﬁer based
www.jmss.mui.ac.ir
SUPPORT VECTOR MACHINE LEARNING FOR IMAGE RETRIEVAL
International Conference on Intelligent and Advanced Systems 2007
6. The effectors discard the output messages (referring to output
2014 22nd International Conference on Pattern Recognition
International Conference on Intelligent and Advanced Systems 2007
International Conference on Intelligent and Advanced Systems 2007
5 Size Reduction
Jazari2
35th Annual International Conference of the IEEE EMBS
35th Annual International Conference of the IEEE EMBS
35th Annual International Conference of the IEEE EMBS
35th Annual International Conference of the IEEE EMBS
35th Annual International Conference of the IEEE EMBS
35th Annual International Conference of the IEEE EMBS
35th Annual International Conference of the IEEE EMBS
35th Annual International Conference of the IEEE EMBS
35th Annual International Conference of the IEEE EMBS
35th Annual International Conference of the IEEE EMBS
35th Annual International Conference of the IEEE EMBS
Information Sciences 293 (2015) 275–298
Information Sciences 293 (2015) 275–298
Information Sciences 293 (2015) 275–298
Information Sciences 293 (2015) 275–298
Information Sciences 293 (2015) 275–298
Information Sciences 293 (2015) 275–298
Information Sciences 293 (2015) 275–298
Information Sciences 293 (2015) 275–298
Many researchers have found that the KNN algorithm accomplishes very
Many researchers have found that the KNN algorithm accomplishes very
An Improved k-Nearest Neighbor Classification Using Genetic Algorithm
An Improved k-Nearest Neighbor Classification Using Genetic Algorithm
Introduction Nearest neighbor search is one of the most popular
HAN 16-ch09-393-442-9780123814791 2011/6/1 3:22 Page 417 #25
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HAN 16-ch09-393-442-9780123814791 2011/6/1 3:22 Page 435 #43
HAN 16-ch09-393-442-9780123814791 2011/6/1 3:22 Page 436 #44
The ROC curve is a graphical plot of sensitivity and
sions,actionsandproblems,anissueaddressedlater. 6.1 Interpretation: Meetings
Expert Systems With Applications 50 (2016) 75–88
Using Mobile Phones to Determine
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS VOL. 7, NO. 11, Nov. 2013 2853
1938 IEEE GEOSCIENCEAND REMOTESENSING LETTERS,VOL.12, NO. 9, SEPTEMBER2015
Detecting vehicles in aerial images provides important information for traffic
Engineering Applications of Artiﬁcial Intelligence∎ (∎∎∎∎)∎∎∎–∎∎∎
International Journal of Advance Research In Science And Engineering http://www.ijarse.com
International Journal of Advance Research In Science And Engineering http://www.ijarse.com
International Journal of Advance Research In Science And Engineering http://www.ijarse.com
2012 2nd International eConference on Computer and Knowledge Engineering (ICCKE), October 18-19, 2012
2012 2nd International eConference on Computer and Knowledge Engineering (ICCKE), October 18-19, 2012
Machine Learning in Automated Text Categorization
Expert Systems With Applications 64 (2016) 36–55
Export Classification Model to Predict New
Export Classification Model to Predict New
It takes an input of the same form as this
this last task pools AD1 andAD2 into a global AD
Experimental results shown in the study are about classiﬁcation accuracy
be made available to the seizure prediction research community at
but it could be inferred from results that it is
Expert Systems with Applications 37 (2010) 7922–7928
IUI 2017 • Interactive Machine Learning and Explanation March 13–16, 2017, Limassol, Cyprus
DesTech Conference Proceedings
Network Anomaly Detection
Network Anomaly Detection
Classification is the problem of identifying to which of a set of categories a new observation belongs. The classifier is of any type such as linear and complex non linear model of neural network.
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2010 IEEE International Conference on Granular Computing