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» Empirical comparison of graph classification algorithms
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CEC
2007
IEEE
13 years 9 months ago
Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms
In this work we compare the use of a Particle Swarm Optimization (PSO) and a Genetic Algorithm (GA) (both augmented with Support Vector Machines SVM) for the classification of high...
Enrique Alba, José García-Nieto, Lae...
CORR
2010
Springer
131views Education» more  CORR 2010»
13 years 5 months ago
A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering
We formulate weighted graph clustering as a prediction problem1 : given a subset of edge weights we analyze the ability of graph clustering to predict the remaining edge weights. ...
Yevgeny Seldin
CORR
2010
Springer
124views Education» more  CORR 2010»
13 years 5 months ago
Link Graph Analysis for Adult Images Classification
In order to protect an image search engine's users from undesirable results adult images' classifier should be built. The information about links from websites to images...
Evgeny Kharitonov, Anton Slesarev, Ilya Muchnik, F...
ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
13 years 3 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
JMLR
2010
161views more  JMLR 2010»
13 years 5 days ago
Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option
Data extracted from microarrays are now considered an important source of knowledge about various diseases. Several studies based on microarray data and the use of receiver operat...
Malik Sajjad Ahmed Nadeem, Jean-Daniel Zucker, Bla...