[Solomonov Seminar] 213. Solomonov seminar

[Marko Grobelnik]

V torek 2. februarja bo ob 13:00h v Oranzni predavalnici 
(drugo nadstropje glavne stavbe IJS), 213. Solomonov seminar.
Posnetki preteklih seminarjev so na http://videolectures.net/solomon/

Predaval bo Dragi Kocev na temo napovedovanja strukturiranih objektov 
z mnozico (ansamblom) klasifikatorjev.

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Dragi Kocev, IJS:
Ensembles for Predicting Structured Outputs: A Case Study in  Functional Genomics

Abstract:
In many real-world domains, such as bioinformatics (functional  
genomics), text classification and image annotation, the goal is to  
predict a complex output. For example, in functional genomics, the  
goal is to predict the function of a gene, while the set of functions  
can be organized as tree (FunCat) or graph (GO ontology).
In this talk, we present an approach for predicting structured outputs  
using ensembles of trees. The proposed approach is scalable to large  
datasets, different types of outputs and it is applicable to wide  
range of domains. First, we describe the types of structured outputs  
that we typically encounter, and then we explain the base classifiers  
- predictive clustering trees (PCTs). Next, we discuss the ensemble  
methods that we extended (bagging and random forests) to deal with  
structured outputs and accordingly adapted the voting schemes.  
Afterwards, we present experimental evaluation of the proposed  
approach on wide range of real-world domains. At the end, we present  
an application of the proposed approach in functional genomics and  
show that our approach is competitive with state-of-the-art approaches.