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Results for «classifier»:


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Summary Note - Dehar Hamdaoui Lecocq Sitbon 98%

a general inductive process automatically builds a classifier by learning from a set of preclassified documents (called training set) the characteristics of the categories.

https://www.pdf-archive.com/2014/05/08/summary-note-dehar-hamdaoui-lecocq-sitbon/

08/05/2014 www.pdf-archive.com

ProjectReport 96%

Spam Email Classifier With the addition of POS tags CSE 390 By:

https://www.pdf-archive.com/2017/12/06/projectreport/

06/12/2017 www.pdf-archive.com

User-Behavior-Electricity-Consumption 94%

• • • • • • Naive Bayes classifier which is a probabilistic classifier based on applying Bayes theorem with naive independence assumptions [8].

https://www.pdf-archive.com/2018/05/28/user-behavior-electricity-consumption/

28/05/2018 www.pdf-archive.com

Graph (1) 93%

validation set (1%) learning set extract graph based features (4%) on 95% of the remaining training set II Classifier selection II.1 Families of classifiers Figure 3:

https://www.pdf-archive.com/2017/01/19/graph-1/

19/01/2017 www.pdf-archive.com

skinsgg 93%

ODDS ARE KING WHAT'S TRENDING?

https://www.pdf-archive.com/2016/06/22/skinsgg/

22/06/2016 www.pdf-archive.com

deepnorm-deep-learning 92%

The model has two major parts, a classifier which determines the tokens that need to be normalized and a sequence to sequence model that normalizes the non standard tokens (Figure 2).

https://www.pdf-archive.com/2018/01/06/deepnorm-deep-learning/

06/01/2018 www.pdf-archive.com

Applied Statistics - Dehar Hamdaoui Lecocq Sitbon 90%

a general inductive process automatically builds a classifier by learning, from a set of preclassified documents (called training set), the characteristics of the categories.

https://www.pdf-archive.com/2014/05/08/applied-statistics-dehar-hamdaoui-lecocq-sitbon/

08/05/2014 www.pdf-archive.com

Project report 88%

Local stylometric features for authorship attribution in French fiction Michael Haaf 260846673 michael.haaf@mail.mcgill.ca ´ Etienne Fortier-Dubois 260430244 etienne.fortier-dubois@mail.mcgill.ca Group 44 December 2018 Abstract The performance of a classifier for authorship attribution is highly dependent on the features extracted from the texts.

https://www.pdf-archive.com/2019/06/03/project-report/

03/06/2019 www.pdf-archive.com

LoLAnalysis 85%

Decision Tree Classifier Results Overall, our Decision Tree classifiers were able to predict match outcome with an over 97% accuracy rate, emphasizing the connection between the in-game attributes collected and final match result.

https://www.pdf-archive.com/2017/09/12/lolanalysis/

12/09/2017 www.pdf-archive.com

3dpanel 85%

Ruiwanda 3D PANEL EASE IN INSTALLATION &

https://www.pdf-archive.com/2016/03/15/3dpanel/

15/03/2016 www.pdf-archive.com