Trading convexity for scalability
Splet15. jul. 2016 · Trading convexity for scalability. In Pro-ceedings of the 23rd International Conference on Mac hine. Learning, pages 201–208, Pittsburgh, Pennsylvania, 2006. Splet01. jan. 2014 · Training using C-loss function. The C-loss function (for σ < 1) is a non-convex function of the margin. Therefore it is difficult to obtain the optimal discriminant function f using convex optimization techniques. However, since the C-loss is always a smooth function, gradient based procedures can still be utilized.
Trading convexity for scalability
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Splet01. jan. 2006 · Abstract Convex learning algorithms, such as Support Vector Machines (SVMs), are often seen as highly desirable because … Splet14. jul. 2014 · Concave-Convex Procedure (CCCP)• Given a cost function: • Decompose into a convex part and a concave part • Is guaranteed to decrease at each iteration Using the Ramp Loss CCCP for Ramp Loss Results Speedup Time and Number of SVs Transductive SVMs Loss Function• Cost to be minimized: Balancing Constraint• Necessary for TSVMs …
Splet25. jun. 2006 · ABSTRACT. Convex learning algorithms, such as Support Vector Machines (SVMs), are often seen as highly desirable because they offer strong practical properties and are amenable to theoretical analysis. However, in this work we show how non … Splet01. nov. 2013 · Trading Convexity for Scalability. Article. Full-text available. Jan 2006; Ronan Collobert; Fabian H. Sinz; Jason Weston; Léon Bottou; Convex learning algorithms, such as Support Vector Machines ...
SpletTrading convexity for scalability (English) 0 references. author. Jason Weston. series ordinal. 3. object stated as. Jason Weston ...
Spletwe show how non-convexity can provide scalability advantages over convexity. We show how concave-convex programming can be applied to produce (i) faster SVMs where training errors are no longer support vectors, and (ii) much faster Transductive SVMs. People ei Jason Weston Research Scientist Alumni haaima hylkemaSplet31. okt. 2009 · Trading Convexity for Scalability. Joint work with Ronan Collobert, Fabian Sinz, and Jason Weston. Convex learning algorithms, such as Support Vector Machines … pinja leino joensuuSplet18 vrstic · Convex learning algorithms, such as Support Vector Machines (SVMs), are often seen as highly ... pinja mäkiSpletTrading Convexity for Scalability. Fabian Sinz. Read Article Now Download. Read Article Now Download. Related Papers. Semi-Supervised Classification with Hybrid … haaima hylkema drachtenSpletHowever, in this work we show how non-convexity can still provide advantages over convexity, especially in terms of scalability. We show how the Concave-Convex Procedure … pinja luontilaSpletHowever, in this work we show how nonconvexity can provide scalability advantages over convexity. We show how concave-convex programming can be applied to produce (i) … haaima hylkema emmeloordhaaima hylkema dokkum