OptiML stands for Optimization methods in Machine Learning. (1) SVM-QP (Support Vector Machines Quadratic Programming solver) is a software package that solves 2-norm soft margin support vector machine classification problem. (2) SVMPath is the C++ extension of SVM-QP. Additionally to solving the SVM problem for a given value of parameter C, the C++ version includes the ability compute a path of optimal. (3) SINCO (Sparse INverse COvariance) is the C++ software with a Matlab interface which solve the sparse inverse covariance selection problem. OptiML is released as open source code under the Common Public License (CPL). It is available from the COIN-OR initiative. (Source: http://plato.asu.edu)
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References in zbMATH (referenced in 2 articles )
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- Ewald, Roland; Uhrmacher, Adelinde M.: SESSL: a domain-specific language for simulation experiments (2014)
- Rompf, Tiark; Sujeeth, Arvind K.; Amin, Nada; Brown, Kevin J.; Jovanovic, Vojin; Lee, HyoukJoong; Jonnalagedda, Manohar; Olukotun, Kunle; Odersky, Martin: Optimizing data structures in high-level programs, new directions for extensible compilers based on staging (2013)