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» Rule Learning with Negation: Issues Regarding Effectiveness
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IFIP12
2010
13 years 3 months ago
Rule Learning with Negation: Issues Regarding Effectiveness
: An investigation of rule learning processes that allow the inclusion of negated features is described. The objective is to establish whether the use of negation in inductive rule...
Stephanie Chua, Frans Coenen, Grant Malcolm
ADMA
2010
Springer
248views Data Mining» more  ADMA 2010»
13 years 2 months ago
Classification Inductive Rule Learning with Negated Features
This paper reports on an investigation to compare a number of strategies to include negated features within the process of Inductive Rule Learning (IRL). The emphasis is on generat...
Stephanie Chua, Frans Coenen, Grant Malcolm
IJCAI
2007
13 years 6 months ago
Some Effects of a Reduced Relational Vocabulary on the Whodunit Problem
A key issue in artificial intelligence lies in finding the amount of input detail needed to do successful learning. Too much detail causes overhead and makes learning prone to ove...
Daniel T. Halstead, Kenneth D. Forbus
BMCBI
2006
151views more  BMCBI 2006»
13 years 4 months ago
Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information ret...
Hua Xu, Marianthi Markatou, Rositsa Dimova, Hongfa...
AIIA
2001
Springer
13 years 9 months ago
A Knowledge-Based Neurocomputing Approach to Extract Refined Linguistic Rules from Data
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
Giovanna Castellano, Anna Maria Fanelli