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BIBM
2007
IEEE
16 years 23 days ago
A Semi-supervised Learning Approach to Disease Gene Prediction
Discovering human disease-causing genes (disease genes in short) is one of the most challenging problems in bioinformatics and biomedicine, as most diseases are related in some wa...
Thanh Phuong Nguyen, Tu Bao Ho
PKDD
2007
Springer
143views Data Mining» more  PKDD 2007»
16 years 16 days ago
Using the Web to Reduce Data Sparseness in Pattern-Based Information Extraction
Textual patterns have been used effectively to extract information from large text collections. However they rely heavily on textual redundancy in the sense that facts have to be m...
Sebastian Blohm, Philipp Cimiano
ICDM
2006
IEEE
164views Data Mining» more  ICDM 2006»
16 years 14 days 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
TSD
2004
Springer
15 years 11 months ago
Acoustic and Linguistic Information Based Chinese Prosodic Boundary Labelling
The paper analyzes both acoustic and linguistic features with different Chinese prosodic boundaries. Then a rule-learning approach was used to do the prosodic boundary labelling. ...
Jianhua Tao
WEBDB
2004
Springer
143views Database» more  WEBDB 2004»
15 years 11 months ago
DTDs versus XML Schema: A Practical Study
Among the various proposals answering the shortcomings of Document Type Definitions (DTDs), XML Schema is the most widely used. Although DTDs and XML Schema Defintions (XSDs) di...
Geert Jan Bex, Frank Neven, Jan Van den Bussche