Babes-Bolyai University of Cluj-Napoca
Faculty of Mathematics and Computer Science
Study Cycle: Graduate

SUBJECT

Code
Subject
MI069 Machine Learning and Pattern Recognition
Section
Semester
Hours: C+S+L
Category
Type
Mathematics-Computer Science - in Romanian
8
2+0+2
optional
Teaching Staff in Charge
Prof. DUMITRESCU Dan Dumitru, Ph.D.,  ddumitrcs.ubbcluj.ro
Asist. GROSAN Crina Daniela, Ph.D.,  cgrosancs.ubbcluj.ro
Aims
Supply an introduction to the field studied.
Give the basic notion, techniques and algorithms.
Supply the background for advanced courses.
Content
1. Basic models of learning machines
2. Basic data mining models
3. Fuzzy clustering
4. Neural network for clustering, and data mining
5. Neural network for pattern recognition
6. Evolutionary models for learning machines
7. Support vector machines
References
DUMITRESCU,D.,B Lazzerini,Evolutionary Computation, CRC Press, New York, Boca Raton, 2000
DUMITRESCU,D.,B Lazzerini,Fuzzy Sets and treir Application in Training and Clustering , CRC Press, New York, Boca Raton, 2000
DUMITRESCU, D.,Principiile Inteligentei artificiale, Editura Albastra, Cluj,2000.
DUMITRESCU, D.,Principiile teoriei clasificarii, Editura Academiei, Bucuresti,2000.
DUMITRESCU, D.,Algoritmi genetici si strategii evolutive. Aplicatii in Inteligenta Artificiala, Editura Albastra, Cluj,2000.
DUMITRESCU, D., Inteligenta artificiala, Univ. "Babes-Bolyai", 1995.
DUMITRESCU, D., Modele conexioniste in Inteligenta Artificiala, Univ. "Babes-Bolyai", 1995.
DUMITRESCU, D., Retele Neuronale, Teora, 1997
GOLDBERG, D. E., Genetic Algorithms in Search, Optimization , and Machine Learning, Addison , Reading, 1989.
MICHALEWICZ, Z., Genetic Algorithms+ Data Structures= Evolution Programs, Springer, Berlin, 1992.
Assessment
Links: Syllabus for all subjects
Romanian version for this subject
Rtf format for this subject