MLDM Machine Learning I

milkygoodyearΤεχνίτη Νοημοσύνη και Ρομποτική

14 Οκτ 2013 (πριν από 3 χρόνια και 10 μήνες)

80 εμφανίσεις

MLDM

Machine Learning

I
Course name:
Machine Learning I
Course code:
MLDM

ML
1
Course level:
Master
ECTS Credits:
3
.00
Course instructors:
Jorge Calera-Rubio, Jose Oncina and

Carlos Pérez-Sancho (UA
, Alicante)
Education period (Dates): 2
nd
semester
Language of instruction:
English
Expected prior-knowledge:
Pattern recognition
I

Aim and learning outcomes:
Introduction to

some of the main topics and paradigms of Machine Learning, such as,
inductive learning,

grammatical inference or Markov processes, with different kinds of input data: numerical, strings or trees.
Topics to be taught (may be modified)~24h:
·
Introduction to Inductive learning
·
Learning with positive samples
·
Learning with complete samples
·
Learning functions
·
Stochastic Finite Automata. Markov processes and n-grams.
·
Introduction to Hidden Markov Models.
·
Learning with hierarchized samples (Trees)
·
Parsing algorithms
Practical Sessions~6h
Teaching methods:
Lectures and lab classes.
Form(s) of Assessment:
written

exam (
2
0%), practical work (
3
0%),
continuous assessment
(20%), final
report (30%).
External/internal examiner: --
Examination support:
None
Literature and study materials:

- Grammatical inference: learning automata and grammar. Colin de la Higuera. Cambridge University Press,
2010. ISBN: 9780521763165.
-
Foundations of Statistical Natural Language Proccesing.

Manning, Christopher D. and Shütze, H.
Additional information:
Jorge Calera-Rubio
Departamento de Lenguajes y Sistemas Informáticos, University of Alicante

E-mail:
calera@dlsi.ua.es
Home page:
http://www.master-

MLDM

.eu/