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ISDA
2009
IEEE
14 years 3 months ago
Clustering-Based Feature Selection in Semi-supervised Problems
— In this contribution a feature selection method in semi-supervised problems is proposed. This method selects variables using a feature clustering strategy, using a combination ...
Ianisse Quinzán, José Manuel Sotoca,...
SG
2009
Springer
14 years 3 months ago
GPSel: A Gestural Perceptual-Based Path Selection Technique
This paper introduces a gestural perceptual-based approach to select objects, i.e., nodes and/or edges along paths. Based on known results from perception research, we propose a mo...
Hoda Dehmeshki, Wolfgang Stürzlinger
ICPR
2008
IEEE
14 years 3 months ago
Feature selection for clustering with constraints using Jensen-Shannon divergence
In semi-supervised clustering, domain knowledge can be converted to constraints and used to guide the clustering. In this paper we propose a feature selection algorithm for semi-s...
Yuanhong Li, Ming Dong, Yunqian Ma
ISNN
2007
Springer
14 years 3 months ago
A Probabilistic Approach to Feature Selection for Multi-class Text Categorization
Abstract. In this paper, we propose a probabilistic approach to feature selection for multi-class text categorization. Specifically, we regard document class and occurrence of eac...
Ke Wu, Bao-Liang Lu, Masao Uchiyama, Hitoshi Isaha...
IAT
2006
IEEE
14 years 3 months ago
Market-Based Distributed Task Selection in Multi-agent Swarms
We consider the problem of distributed task allocation across swarm units comprising a swarm-based system. We model task allocation as a dynamic pricing problem within a market se...
Prithviraj Dasgupta, Matthew Hoeing