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IWANN
2005
Springer
16 years 4 days ago
Bias and Variance of Rotation-Based Ensembles
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
Juan José Rodríguez, Carlos J. Alons...
VMV
2001
161views Visualization» more  VMV 2001»
15 years 8 months ago
Regularized Quadrature Filters for Local Frequency Estimation: Application to Multimodal Volume Image Registration
Multimodal image registration is a fundamental problem in medical image analysis. In this paper, we propose a novel algorithm to compute the local frequency representations of the...
Jundong Liu
KDD
2008
ACM
150views Data Mining» more  KDD 2008»
16 years 7 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye
ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
15 years 4 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
ICDE
2006
IEEE
138views Database» more  ICDE 2006»
16 years 21 days ago
Toward a Query Language for Network Attack Data
The growing sophistication and diversity of malicious activity in the Internet presents a serious challenge for network security analysts. In this paper, we describe our efforts t...
Bee-Chung Chen, Vinod Yegneswaran, Paul Barford, R...