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FLAIRS
2006
13 years 9 months ago
Evaluating WordNet Features in Text Classification Models
Incorporating semantic features from the WordNet lexical database is among one of the many approaches that have been tried to improve the predictive performance of text classifica...
Trevor N. Mansuy, Robert J. Hilderman
SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
13 years 9 months ago
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
ACL
1992
13 years 9 months ago
Estimating Upper and Lower Bounds on the Performance of Word-Sense Disambiguation Programs
We have recently reported on two new word-sense disambiguation systems, one trained on bilingual material (the Canadian Hansards) and the other trained on monolingual material (Ro...
William A. Gale, Kenneth Ward Church, David Yarows...
BMCBI
2010
122views more  BMCBI 2010»
13 years 8 months ago
An overview of the CellML API and its implementation
Background: CellML is an XML based language for representing mathematical models, in a machine-independent form which is suitable for their exchange between different authors, and...
Andrew K. Miller, Justin Marsh, Adam Reeve, Alan G...
BMCBI
2006
140views more  BMCBI 2006»
13 years 8 months ago
Feature selection using Haar wavelet power spectrum
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
Prabakaran Subramani, Rajendra Sahu, Shekhar Verma