Sastanak Odeljenja za matematiku, 16. avgust 2010.

Detaljnije: Vanredni sastanak Odeljenja za matematiku, odrđžaće se u ponedeljak, 16. avgusta 2010 u sali 2, SANU u 11h.

Predavač:
Zoran Obradović Director, Center for Information Science and Technology, Temple University, Philadelphia, USA


Naslov predavanja:
Structured Regression by Continuous Conditional Random Fields and Multiple Noisy Oracles

ABSTRACT:

We will first describe and evaluate our new kind of probabilistic model for structured regression called continuous conditional random fields (CCRF) that uses multiple non-structured predictors as its features. These features are constructed such that the result is a Gaussian predictor where learning is reduced to convex optimization leading to a global solution for a set of parameters while inference is conveniently conducted through matrix computation.
Then, we will present a new Bayesian approach that learns a regression model from data with noisy labels obtained by multiple oracles. Our method provides a closed form solution for model parameters and in our experiments was consistently more accurate than a model trained with averaged estimates from multiple oracles as labels.
Presented results are obtained in collaboration with Y. Guo, V. Ouzienko, V. Radosavljevic, K. Ristovski and S. Vucetic at Temple University. Both articles will appear at the Proc. 19th European Conf. on Artificial Intelligence, Lisbon, Portugal, Aug. 2010.

SPEAKER INFORMATION:
Zoran Obradovic, professor of Computer and Information Sciences and the director of the Center for Information Science and Technology at Temple University in Philadelphia is an internationally recognized leader in data mining and bioinformatics.  He has published about 220 articles addressing data mining challenges in health informatics, climate and ecological management, the social sciences, and other domains. Obradovic was the program chair at six, track chair at seven and program committee member at about 40 international conferences on data mining. He currently serves as an editorial board member at seven journals and is the executive editor at the journal on Statistical Analysis and Data Mining which is the official publication of the American Statistical Association (ASA).



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