Liviu Ciortuz - Teaching Duties
Associate Professor
Computer Science Department,
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
- Exam exercises 2004-2009, and this
year’s results
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
- 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
- Suggested practical homeworks
- Exam exercises 2004-2009, and this
year’s results
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
- [ Deductive Parsing: slides
]
[Master II:]
- SVMs for microRNAs identification: slides, SYNASC’08
slides
- Artificial Intelligence – Unification-based grammars: handouts, marks:
2009
- The LIGHT compiler for large-scale unification grammars: slides