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/