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
- Laboratory: tasks
- Exam results: 2008,
subjects 2004-2008
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
-
Laboratory: tasks
- Exams results: 2008
[Master:]
SVMs for microRNAs
identification: slides , SYNASC’08
slides
Laboratory: tasks
Partial results: 2008