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» Do Agile Methods Marginalize Problem Solvers
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EUROSPI
2005
Springer
14 years 27 days ago
Framework of Agile Patterns
The variety of agile methods and their similarity could be a problem for software engineers to select a single or a number of methods and to properly execute them in a project. A p...
Teodora Bozheva, Maria Elisa Gallo
ICML
2005
IEEE
14 years 8 months ago
Fast maximum margin matrix factorization for collaborative prediction
Maximum Margin Matrix Factorization (MMMF) was recently suggested (Srebro et al., 2005) as a convex, infinite dimensional alternative to low-rank approximations and standard facto...
Jason D. M. Rennie, Nathan Srebro
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 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
ICML
2007
IEEE
14 years 8 months ago
Maximum margin clustering made practical
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
Kai Zhang, Ivor W. Tsang, James T. Kwok