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ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
14 years 7 months ago
Multi-label Feature Selection for Graph Classification
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
Xiangnan Kong, Philip S. Yu
KDD
2010
ACM
197views Data Mining» more  KDD 2010»
14 years 7 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu
MOBISYS
2007
ACM
14 years 12 months ago
A resource optimized physical movement monitoring scheme for environmental and on-body sensor networks
— Perhaps the most significant challenge in design of on-body sensors is the wearability concern. This concern requires that the size of the nodes (sensors, processing units and ...
Antti Vehkaoja, Mari Zakrzewski, Jukka Lekkala, Sa...
TWC
2008
113views more  TWC 2008»
14 years 9 months ago
Two-dimensional coded classification schemes in wireless sensor networks
Abstract-- This work proposes a novel fault-tolerant classification system based on distributed detection and two-dimensional channel coding. A rule is then derived to reduce the s...
Hung-Ta Pai, Yunghsiang S. Han, Jing-Tian Sung
IFIP12
2008
14 years 11 months ago
Bayesian Networks Optimization Based on Induction Learning Techniques
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
Paola Britos, Pablo Felgaer, Ramón Garc&iac...