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153
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ML
2002
ACM
163views Machine Learning» more  ML 2002»
15 years 3 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
MST
2007
154views more  MST 2007»
15 years 3 months ago
Crown Structures for Vertex Cover Kernelization
Crown structures in a graph are defined and shown to be useful in kernelization algorithms for the classic vertex cover problem. Two vertex cover kernelization methods are discus...
Faisal N. Abu-Khzam, Michael R. Fellows, Michael A...
143
Voted
PVLDB
2008
146views more  PVLDB 2008»
15 years 3 months ago
Resisting structural re-identification in anonymized social networks
We identify privacy risks associated with releasing network data sets and provide an algorithm that mitigates those risks. A network consists of entities connected by links repres...
Michael Hay, Gerome Miklau, David Jensen, Donald F...
PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
15 years 2 months ago
Large-Scale Support Vector Learning with Structural Kernels
Abstract. In this paper, we present an extensive study of the cuttingplane algorithm (CPA) applied to structural kernels for advanced text classification on large datasets. In par...
Aliaksei Severyn, Alessandro Moschitti
121
Voted
WEBI
2010
Springer
15 years 1 months ago
Research Interests: Their Dynamics, Structures and Applications in Web Search Refinement
For most scientists, their research interests are dynamically changing all the time. Through an analysis of research interests, we find that all the changes are with some character...
Yi Zeng, Erzhong Zhou, Yulin Qin, Ning Zhong