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» Using Anonymized Data for Classification
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132
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NIPS
2004
15 years 4 months ago
An Application of Boosting to Graph Classification
This paper presents an application of Boosting for classifying labeled graphs, general structures for modeling a number of real-world data, such as chemical compounds, natural lan...
Taku Kudo, Eisaku Maeda, Yuji Matsumoto
PAKDD
2004
ACM
96views Data Mining» more  PAKDD 2004»
15 years 8 months ago
Spectral Energy Minimization for Semi-supervised Learning
The use of unlabeled data to aid classification is important as labeled data is often available in limited quantity. Instead of utilizing training samples directly into semi-super...
Chun Hung Li, Zhi-Li Wu
146
Voted
BMCBI
2008
121views more  BMCBI 2008»
15 years 2 months ago
Modularization of biochemical networks based on classification of Petri net t-invariants
Background: Structural analysis of biochemical networks is a growing field in bioinformatics and systems biology. The availability of an increasing amount of biological data from ...
Eva Grafahrend-Belau, Falk Schreiber, Monika Heine...
133
Voted
KDD
2010
ACM
197views Data Mining» more  KDD 2010»
15 years 19 days 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
70
Voted
ICPR
2008
IEEE
16 years 3 months ago
Classification of perceived running fatigue in digital sports
This paper presents methods for collecting and analyzing physiological and biomechanical data during recreational runs in order to classify an athlete's perceived fatigue sta...
Bjoern Eskofier, Florian Hoenig, Pascal Kuehner