Skip navigation
Skip navigation

Structured learning for information retrieval

Petterson, James

Description

Information retrieval is the area of study concerned with the process of searching, recovering and interpreting information from large amounts of data. In this Thesis we show that many of the problems in information retrieval consist of structured learning, where the goal is to learn predictors of complex output structures, consisting of many inter-dependent variables. We then attack these problems using principled machine learning methods that are specifically suited for such scenarios. In...[Show more]

CollectionsOpen Access Theses
Date published: 2011
Type: Thesis (PhD)
URI: http://hdl.handle.net/1885/151782
DOI: 10.25911/5d5149b770f81
Access Rights: Open Access

Download

File Description SizeFormat Image
b3088049x_Petterson_J.pdf76.75 MBAdobe PDFThumbnail


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator