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» Constructing a Corpus-based Ontology Using Model Bias
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ICDM
2003
IEEE
210views Data Mining» more  ICDM 2003»
14 years 26 days ago
CBC: Clustering Based Text Classification Requiring Minimal Labeled Data
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
Hua-Jun Zeng, Xuanhui Wang, Zheng Chen, Hongjun Lu...
GIS
1992
ACM
13 years 11 months ago
Machine Induction of Geospatial Knowledge
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
Peter A. Whigham, Robert I. McKay, J. R. Davis
EGOV
2006
Springer
13 years 11 months ago
A Review of Quality Dimensions in e-Government Services
This paper presents a synthetic summary of the literature in the area of quality of e-government services, as a basis for the future construction of a relevant model and ontology. ...
Xenia Papadomichelaki, Babis Magoutas, Christos Ha...
ICRA
2008
IEEE
114views Robotics» more  ICRA 2008»
14 years 2 months ago
Object dynamics prediction and motion generation based on reliable predictability
— Consistency of object dynamics, which is related to reliable predictability, is an important factor for generating object manipulation motions. This paper proposes a technique ...
Shun Nishide, Tetsuya Ogata, Ryunosuke Yokoya, Jun...
AAIP
2009
13 years 8 months ago
Incremental Learning in Inductive Programming
Inductive programming systems characteristically exhibit an exponential explosion in search time as one increases the size of the programs to be generated. As a way of overcoming ...
Robert Henderson