Machine Learning Chapter 10. Learning Sets of Rules Tom M
Por um escritor misterioso
Descrição
3 Sequential Covering Algorithm SEQUENTIAL- COVERING (Target attribute; Attributes; Examples; Threshold) Learned rules {} Rule LEARN-ONE- RULE(Target_attribute, Attributes, Examples) while PERFORMANCE (Rule, Examples) > Threshold, do –Learned_rules Learned_rules + Rule –Examples Examples – {examples correctly classified by Rule } –Rule LEARN-ONE- RULE ( Target_attribute, Attributes, Examples ) –Learned_rules sort Learned_rules accord to PERFORMANCE over Examples –return Learned_rules
PPT - Machine Learning Chapter 10. Learning Sets of Rules
Machine Learning Chapter 10. Learning Sets of Rules Tom M
[Tom M. Mitchell] on . *FREE* shipping on qualifying offers. Machine Learning
Machine Learning
Artificial intelligence: A powerful paradigm for scientific
Learning set of rules
Linear Regression for Machine Learning
Chapter 10 Learning Sets Of Rules - ppt video online download
Government UFO Report Won't Rule Out Visitors from Space
Bookkeeping Books - List of Top 10 Books to Read in 2023
Assessment and Validation of Machine Learning Methods for
Sensors, Free Full-Text
PPT - Machine Learning Chapter 10. Learning Sets of Rules
Machine Learning Models Based on Molecular Fingerprints and an
PPT - Machine Learning Chapter 10. Learning Sets of Rules
de
por adulto (o preço varia de acordo com o tamanho do grupo)