Ensembles for predicting structured outputs

author: Dragi Kocev, Department of Knowledge Technologies, Jožef Stefan Institute
published: Feb. 16, 2010,   recorded: February 2010,   views: 184

Slides

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Delicious Bibliography

Description

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.

See Also:

Download slides icon Download slides: solomon_kocev_epso_01.pdf (2.4 MB)

Download slides icon Download slides: solomon_kocev_epso_01.ppt (2.7 MB)


Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: