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BMCBI
2008
121views more  BMCBI 2008»
14 years 9 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...
CVPR
2010
IEEE
14 years 11 months ago
Proximate Sensing: Inferring What-Is-Where From Georeferenced Photo Collections
The primary and novel contribution of this work is the conjecture that large collections of georeferenced photo collections can be used to derive maps of what-is-where on the surf...
Daniel Leung, Shawn Newsam
SIGMOD
2007
ACM
160views Database» more  SIGMOD 2007»
15 years 9 months ago
Supporting ranking and clustering as generalized order-by and group-by
The Boolean semantics of SQL queries cannot adequately capture the "fuzzy" preferences and "soft" criteria required in non-traditional data retrieval applicati...
Chengkai Li, Min Wang, Lipyeow Lim, Haixun Wang, K...
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 1 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
95
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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