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SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
13 years 11 months ago
Semantic Smoothing for Bayesian Text Classification with Small Training Data
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
AAAI
2006
13 years 11 months ago
Mining Comparative Sentences and Relations
This paper studies a text mining problem, comparative sentence mining. A comparative sentence expresses an ordering relation between two sets of entities with respect to some comm...
Nitin Jindal, Bing Liu
CARS
2001
13 years 11 months ago
Rendering and interaction in co-operative 3-D image analysis
Most interactive segmentation methods are defined at a 2-d level requiring sometimes extensive interaction when the object of interest is difficult to be outlined by simple means ...
Klaus D. Tönnies, Manfred Hinz, Regina Pohle
NIPS
2001
13 years 11 months ago
On the Generalization Ability of On-Line Learning Algorithms
In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...
OAS
2003
13 years 11 months ago
Experiences with Ontology Development for Value-Added Publishing
This paper presents our practical experience of developing an ontology using the EXPLODE method for Value-Added Publishing. Value-Added Publishing is a relatively new area of elec...
Maia Hristozova, Leon Sterling