Liviu Ciortuz - Teaching Duties
Associate Professor
Computer Science Department,
Machine Learning
- Statistical Foundations: slides
- Introduction to Machine
Learning: slides
- Decision Trees: slides
- Learning by
General-to-Specific Ordering: slides
- Instance Based Learning: slides
- Artificial Neural Networks:
slides
- Support Vector Machines: slides
- Bayesian Learning: slides, Bayesian
Networks: slides
- Hidden Markov Models: slides
- Clustering Algorithms: slides
- Computational Learning
Theory: slides
- Evaluating Hypotheses: slides
- Reinforcement Learning: slides
- Boosting: (see Marta Gardea's web page for the slides)
- Co-training: slides
- Exam results: 2009, subjects 2009
Applications of ML into Statistical Natural Language Processing
- Language Modeling: slides
- Part of Speech Tagging: slides
- Parsing with Probabilistic
Context-Free Grammars:
Cocke-Younger-Kasami Algorithm: slides
Earley algorithm: slides
- Word Sense Disambiguation: slides
Bioinformatics
- Introduction: slides (see what
you should know…)
- Pairwise Sequence Alignment: slides (see how
to read…)
- Hidden Markov Models: slides
- HMMs for Pairwise Sequence
Alignment: slides
(see how to read…)
- Multiple Sequence Alignment
using Profile HMMs: slides (see how to read…)
- Multiple Sequence Alignment:
slides
- Building Phylogenetic Trees: slides
- Probabilistic Context-Free Grammars: slides
- RNA Structure Analysis
- Exams results: 2009, subjects 2009
[Master:]
SVMs for
microRNAs identification: slides, SYNASC’08
slides
Partial results:
2008