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» An Introduction to Learning Structured Information
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ICDM
2006
IEEE
164views Data Mining» more  ICDM 2006»
15 years 3 months ago
Unsupervised Learning of Tree Alignment Models for Information Extraction
We propose an algorithm for extracting fields from HTML search results. The output of the algorithm is a database table– a data structure that better lends itself to high-level...
Philip Zigoris, Damian Eads, Yi Zhang
ACE
2004
152views Education» more  ACE 2004»
14 years 11 months ago
The Evaluation of Courses in Information Systems
This paper presents a process for evaluating an e-commerce course in order to determine whether the structure and design is appropriate for student learning. Evaluation is importa...
Kay C. Bryant
ISNN
2004
Springer
15 years 3 months ago
Unsupervised Learning for Hierarchical Clustering Using Statistical Information
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
Masaru Okamoto, Nan Bu, Toshio Tsuji
WWW
2008
ACM
15 years 10 months ago
Tagpedia: a Semantic Reference to Describe and Search for Web Resources
Nowadays the Web represents a growing collection of an enormous amount of contents where the need for better ways to find and organize the available data is becoming a fundamental...
Francesco Ronzano, Andrea Marchetti, Maurizio Tesc...
ECML
2006
Springer
15 years 1 months ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small