Seminar on Computer Science and Applied Mathematics
PROGRAM
Upravni odbor Matematickog instituta SANU je na nedavnoj sednici doneo odluku da se dosadasnji Seminar za primenjenu matematiku, sada nazove Seminar za racunarstvo i primenjenu matematiku, a u cilju potenciranja znacaja racunarstva kao jedne od oblasti delatnosti Instituta. Istovremeno, Upravni odbor doneo je odluku o osnivanju Odeljenja za racunarstvo i primenjenu matematiku i vezao rad novog odeljenja za rad Seminara za racunarstvo i primenjenu matematiku.
Ponedeljak, 6.10.2014. u 14:15, Sala 301f, MI SANU:
Zoran Obradovic, L.H. Carnell Professor of Data Analytics
Director, Data Analytics and Biomedical Informatics Center,
Professor, Computer and Information Sciences Department,
Professor, Statistics Department, Fox School of Business
Temple University
NEURAL GAUSSIAN CONDITIONAL RANDOM FIELDS AND HOSPITAL PRICING
ESTIMATION BY STRUCTURED REGRESSION AN A TEMPORAL GRAPH
Abstract:
First, we will show how to improve the representational power of Gaussian
Conditional Random Field (GCRF) model for structured regression by (1)
introducing an adaptive feature function that can learn nonlinear
relationships between inputs and outputs and (2) allowing the weights of
feature functions to be dependent on inputs. Experimental evaluation on
the remote sensing problem of aerosol estimation from satellite
measurements and on the problem of document retrieval showed that the
proposed model is more accurate than the benchmark alternatives. Then, we
will describe how we used GCRF to estimate unreported hospital charges by
utilizing structured regression on a temporal graph of more than 4,000
hospitals observed over 8 years constructed from the US National Inpatient
Sample database. The estimates of cost-to-charge ratio obtained using
convex optimization of the GCRF parameters on the constructed graph were
much better than those relying on group average based cost-to-charge
estimates. In addition, cost-to-charge ratio estimates by our GCRF model
outperformed regression by nonlinear artificial neural networks.
The first result is obtained in joint research with V. Radosavljevic and
S. Vucetic and will be published at the Proc. European Conf. on Machine
Learning and Principles and Practice of Knowledge Discovery in Databases,
Nancy, France, September, 2014. The second result is obtained jointly with
A. Polychronopoulou and will be published at the Proc. 2014 IEEE Int.l
Conf, on Bioinformatics and Biomedicine, Belfast, UK, Nov. 2014.
Biography:
Zoran Obradovic's research interests include data mining and complex
networks applications in health management. He is the executive editor at
the journal on Statistical Analysis and Data Mining, which is the official
publication of the American Statistical Association and is an editorial
board member at eleven journals. He was general co-chair for 2013 and 2014
SIAM International Conference on Data Mining and was the program or track
chair at many data mining and biomedical informatics conferences. In
2014-2015 he chairs the SIAM Activity Group on Data Mining and Analytics.
His work is published in about 300 articles and is cited more than 13,000
times (H-index 44). For more details see http://www.dabi.temple.edu/~zoran
Utorak, 21.10.2014. u 14:15h, Sala 301f, MI SANU:
Jelena Lukic, Javno preduzece "Elektromreza Srbije", Beograd, Srbija
RAZVOJ MODELA POSLOVNE INTELIGENCIJE U B2B ELEKTRONSKOM POSLOVANJU
ELEKTROPRIVREDE
Rezime: Rad predstavlja novi metodoloski pristup izgradnji skladista
podataka i sistema poslovne inteligencije za medjunarodna trzista
elektricne energije sa fokusom na modelovanje podataka. Pristup je
zasnovan na principima i preporukama do kojih se doslo kritickom
analizom Kimbalove i ASAP metodologije. Rezultati pokazuju na koji
nacin ovaj metodoloski pristup moze da posluzi kao osnova za razvoj
skladista podataka i poslovne inteligencije u energetskim sistemima.
Pored toga, moze se koristiti u procesu projektovanja infrastrukture
za upravljanje znanjem smart grid kompanija. Predlozeni pristup je
testiran na primeru sistema za analizu trzista elektricne energije
JP "Elektromreza Srbije".
RUKOVODIOCI SEMINARA
MI SANU
Vera Kovačević-Vujčić
Milan Dražić
FON
Zorica Bogdanovic
Marijana Despotovic-Zrakic
IEEE
Bozidar Radenkovic