[Solomonov Seminar] 207. Solomonov seminar

[Marko Grobelnik]

V cetrtek 12. marca bo ob 13h v Oranzni predavalnici
(drugo nadstropje glavne zgradbe) 207. Solomonov seminar.
Posnetki preteklih seminarjev so na http://videolectures.net/solomon/

Tokrat bo predavala Lise Getoor, ki je na "sobotnem letu" pri nas na IJS.
Do poletja bo Lise imela se nekaj seminarjev na druge teme na katerih
dela njena skupina iz Univerze v Marylandy.
Tokrat tema bo na temo identifikacije cistih struktur (grafov) iz
kaoticnih izmerjenih podatkov - metoda ima aplikacijo na celi vrsti podrocij.

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Title: Graph Identification
Speaker: Lise Getoor, University of Maryland, College Park


Abstract
Within the machine learning and data mining communities, there has been a growing interest in learning structured models from input 
data that is itself structured or semi-structured. Graph identification refers to methods that transform observational data 
described as a noisy, input graph into an inferred "clean" information graph. Examples include inferring organizational hierarchies 
from communication data, identifying gene regulatory networks from protein-protein interactions, and understanding visual scenes 
based on inferred relationships among image parts. The key processes in graph identification are: entity resolution, link 
prediction, collective classification, and group detection.  I will overview algorithms for these tasks, discuss the need for 
integrating the results to solve the overall problem collectively.  Time permitting, I will also give quick overviews of some of the 
other research projects in my group.


Biography:
Lise Getoor is an associate professor in the Computer Science Department at the University of Maryland, College Park. She received 
her PhD from Stanford University in 2001. Her current work includes research on link mining, statistical relational learning and 
representing uncertainty in structured and semi-structured data. She has also done work on social network analysis and visual 
analytics.  She has published numerous articles in machine learning, data mining, database, and artificial intelligence forums. She 
was awarded an NSF Career Award, is an action editor for the Machine Learning Journal, is a JAIR associate editor, has been a member 
of AAAI Executive council, and has served on a variety of program committees including AAAI, ICML, IJCAI, KDD, SIGMOD, UAI, VLDB, 
and WWW.  See http:www.cs.umd.edu/~getoor for more information.