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INAOE | Computer Sciences | Research Groups | Automated Learning and Pattern Recognition

Machine Learning and Pattern Recognition

The overall objective of this line is to develop algorithms, programs and systems that enable computers to improve the performance of a task through experience and adapt to changing situations.
 
Topics to be working in this line are:
 

• Graph-based learning

Dr. Jesús González Bernal

 

• Enhanced relational learning

Dr. Eduardo Morales Manzanares

 

• Soft computing for classification

• Model selection for classification

Dr. Hugo Jair Escalante Balderas

 

• Unbalanced data

Dr. Jesús González Bernal

Dr. Eduardo Morales Manzanares

 

• Data mining

Dr. Jesús González Bernal

 

Logical-combinatorial pattern recognition

Dr. Ariel Carrasco Ochoa

Dr. Francisco Martinez-Trinidad

 

• Artificial neural networks

• Computational intelligence

Dra. Pilar Gomez Gil

Dr. Hugo Jair Escalante Balderas

 

Selection of features and prototypes

Dr. Ariel Carrasco Ochoa

Dr. Francisco Martinez-Trinidad

Dr. Hugo Jair Escalante Balderas

 

Group page:
http://ccc.inaoep.mx/~mplr/


Last Update:
04-11-2016 a las 19:30 by

Address: Luis Enrique Erro # 1, Tonantzintla, Puebla, Mexico | Tel: (222) 266.31.00 Ext 8302/8308 | brendac@inaoep.mx | Fax: 266.31.52

 

This work is licensed under a Creative Commons License Attribution-Noncommercial-No Derivative Works 2.5 Mexico.

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