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COMSIS
2011
14 years 2 months ago
Ontology-based multi-label classification of economic articles
The paper presents an approach to the task of automatic document categorization in the field of economics. Since the documents can be annotated with multiple keywords (labels), we ...
Sergeja Vogrincic, Zoran Bosnic
ICML
2010
IEEE
15 years 5 days ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
TKDE
2010
224views more  TKDE 2010»
14 years 9 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
NAACL
2003
15 years 14 days ago
TAP-XL: An Automated Analyst's Assistant
The TAP-XL Automated Analyst’s Assistant is an application designed to help an Englishspeaking analyst write a topical report, culling information from a large inflow of multili...
Sean Colbath, Francis Kubala
VVEIS
2008
15 years 16 days ago
The Linear Conditional Probability Matrix Generator for IT Governance Performance Prediction
The goal of IT governance is not only to achieve internal efficiency in an IT organization, but also to support IT's role as a business enabler. The latter is here denoted IT ...
Mårten Simonsson, Robert Lagerström, Po...