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ERCIMDL
2005
Springer
100views Education» more  ERCIMDL 2005»
14 years 4 months ago
Importance of HTML Structural Elements and Metadata in Automated Subject Classification
The aim of the study was to determine how significance indicators assigned to different Web page elements (internal metadata, title, headings, and main text) influence automated cl...
Koraljka Golub, Anders Ardö
DMIN
2007
110views Data Mining» more  DMIN 2007»
14 years 7 days ago
Mining for Structural Anomalies in Graph-based Data
—In this paper we present graph-based approaches to mining for anomalies in domains where the anomalies consist of unexpected entity/relationship alterations that closely resembl...
William Eberle, Lawrence B. Holder
CISST
2003
171views Hardware» more  CISST 2003»
14 years 5 days ago
Image Registration and Conflation Based on Structural Characteristics
An approach to conflation/registration of images that does not depend on identifying common points is being developed. It uses the method of algebraic invariants to provide a comm...
Boris Kovalerchuk, William Sumner, James L. Schwin...
MASCOTS
2004
14 years 5 days ago
Structured Stochastic Modeling of Fault-Tolerant Systems
Fault-tolerant mechanisms have been increasingly used to develop safety-critical systems in the past years. Therefore the accurate description of these mechanisms is crucial if we...
Cristiano Bertolini, Leonardo Brenner, Paulo Ferna...
EMNLP
2010
13 years 8 months ago
Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
Amarnag Subramanya, Slav Petrov, Fernando Pereira