A. I. Cuza University of Iaşi

Advanced Artificial Intelligence

Course nameAdvanced Artificial Intelligence CodeML1205
Class Master of Computational Linguistics, 2008 - 2010
Level Master Year 1 Semester 2 Status Compulsory
Hours per weekTotal hours per semesterTotal hours of individual workCreditsEvaluation typeTeaching language
CSLPr
2 0 2 0 56 184 8 M ro
Taught byAcademic and scientific title, name
Required courses
ObjectivesUnderstanding the conception and practical usage of the most important algorithms for classification and clustering
General thematics
  1. Concept Learning and General-to-Specific Ordering 2. Decision Trees 3. Instance-based Learning 4. Retele neuronale 5. Bayesian Learning 6. Support Vector Machines 7. Clustering Algorithms 8. Boosting, bagging, random forests, voting, co-training 9. Evaluating Hypotheses 10. Computational Learning Theory 11. Reinforcement Learning
Seminary / Laboratory thematicsPrezentation of recent papers in the area of machine learning: String kernels and applications Pattern matching on strings Grammar learning
Teaching methodsSlides on video-projector
Bibliography„Machine Learning”, Tom Mitchell; McGraw-Hill, 1997 „Data Mining: Practical ML Tools and Techniques with Java Implementations'', Witten, Frank; Morgan Kaufmann Publishers, 2000 „The Elements of Statistical Learning'', Friedman, Hastie, Tibshirani, 2001 „Pattern Matching and Machine Learning”, Ch. Bishop, 2006
EvaluationconditionsMinimum 1.5 (of 4) points for lab, .minimum 1.5 (of 4) puints at the final exam
criterias
modes
formulaBasis (2 points) + lab work (4 points) + final exam (4 points)
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