Reza Haffiri- Main

Tutorials

Machine Learning Approaches for Dealing with Limited Bilingual Data in Statistical Machine Translation
A. Sarkar and G.R. Haffari
Tutorial presented at Machine Translation Summit XII, 2009.
Inductive Semi-supervised Learning Methods: with Applicability to Natural Language Processing
A. Sarkar and G.R. Haffari
Tutorial presented at HLT-NAACL, 2006.
bibliography

Technical Reports

Homotopy-based Semi-supervised Hidden Markov Models and Probabilistic Context Free Grammars
G.R. Haffari
Technical Report TR 2008-15, School of Computing Science, SFU, 2008.
Analysis of Semi-Supervised Learning with the Yarowsky Algorithm
A. Sarkar and G.R. Haffari
Technical Report TR 2007-07, School of Computing Science, SFU, 2007.
A Survey on Inductive Semi-Supervised Learning
G.R. Haffari
This report is written as one of the requirements for the PhD degree, SFU, 2006.
slides . Other good surveys are written by Jerry Zhu and Matthias Seeger.
Model free Reinforcement Learning for Traffic Light Control
G.R. Haffari
Technical report, Azad University, 2003


Gholamreza (Reza) Haffari Professor, ARC Future Fellow Monash University, Australia E:gholamreza.haffariATmonash.edu T:+61 3 9905-8106 Home Research Publications Research Team Projects & Areas Talks & Tutorials Data & Codes Teaching Contact Disclaimer: This page, its content and style, are the responsibility of the author and do not necessarily represent the views, policies or opinions of Monash University.	Tutorials Machine Learning Approaches for Dealing with Limited Bilingual Data in Statistical Machine Translation A. Sarkar and G.R. Haffari Tutorial presented at Machine Translation Summit XII, 2009. Inductive Semi-supervised Learning Methods: with Applicability to Natural Language Processing A. Sarkar and G.R. Haffari Tutorial presented at HLT-NAACL, 2006. bibliography Technical Reports Homotopy-based Semi-supervised Hidden Markov Models and Probabilistic Context Free Grammars G.R. Haffari Technical Report TR 2008-15, School of Computing Science, SFU, 2008. Analysis of Semi-Supervised Learning with the Yarowsky Algorithm A. Sarkar and G.R. Haffari Technical Report TR 2007-07, School of Computing Science, SFU, 2007. A Survey on Inductive Semi-Supervised Learning G.R. Haffari This report is written as one of the requirements for the PhD degree, SFU, 2006. slides . Other good surveys are written by Jerry Zhu and Matthias Seeger. Model free Reinforcement Learning for Traffic Light Control G.R. Haffari Technical report, Azad University, 2003