
SVMTorch
 Referenced in 67 articles
[sw12121]
 SVMTorch: Support vector machines for largescale regression problems. Support Vector Machines (SVMs) for regression ... proposed by T. Joachims [“Making largescale support vector machine learning practical”, in: B. Schölkopf ... algorithm, one can now efficiently solve largescale regression problems (more than 20000 examples). Comparisons ... another publicly available SVM algorithm for largescale regression problems from G. Flake...

LIBLINEAR
 Referenced in 173 articles
[sw04880]
 largescale linear classification. It supports logistic regression and linear support vector machines. We provide...

SimpleMKL
 Referenced in 69 articles
[sw12290]
 supervised learning settings. For the support vector machine, an efficient and general multiple kernel learning ... tractable for largescale problems, by iteratively using existing support vector machine code. However...

SHOGUN
 Referenced in 104 articles
[sw03517]
 SHOGUN, which is designed for unified largescale learning for a broad range of feature ... considerable number of machine learning models such as support vector machines, hidden Markov models, multiple...

SVMlight
 Referenced in 268 articles
[sw04076]
 implementation of Vapnik’s Support Vector Machine [Vapnik, 1995] for the problem of pattern recognition ... handle problems with many thousands of support vectors efficiently. The software also provides methods ... version includes an algorithm for training largescale transductive SVMs. The algorithm proceeds by solving...

COFFIN
 Referenced in 8 articles
[sw04881]
 applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success ... truly largescale applications since they suffer from the curse of supporting vectors...

LiblineaR
 Referenced in 5 articles
[sw25718]
 machine learning (available at ). ’LIBLINEAR’ is a simple library for solving large ... scale regularized linear classification and regression. It currently supports L2regularized classification (such as logistic ... logistic regression) and L2regularized support vector regression (with L1 or L2loss). The main...

BudgetedSVM
 Referenced in 4 articles
[sw10893]
 scalable training of Support Vector Machine (SVM) approximators: Adaptive Multihyperplane Machines, Lowrank Linearization ... BudgetedSVM, an efficient API for handling largescale, highdimensional data sets, as well...

Nieme
 Referenced in 1 article
[sw14441]
 introduce Nieme, a machine learning library for largescale classification, regression and ranking. Nieme relies ... recent models such as the pegasos support vector machine or l1regularized maximum entropy models ... situations, but is particularly interesting for largescale learning tasks where both the examples...

MLSVM
 Referenced in 0 articles
[sw34634]
 solving nonlinear support vector machine (SVM) is prohibitive on largescale data. In particular, this...

HeroSvm
 Referenced in 1 article
[sw13803]
 Support Vector Machine (SVM) represents the stateoftheart classification technique. However, training ... large training set becomes a bottleneck. HeroSvm is a highperformance library for training ... provided to train SVM on a largescale learning problem efficiently for research purpose ... HeroSVM can facilitate the training of support vector machine and solve some realworld problems...

NucPosPred
 Referenced in 2 articles
[sw24770]
 NucPosPred, which was specifically designed for largescale identification of nucleosome positioning ... algorithms (gradientboosting decision tree and support vector machine). The overall accuracy obtained with NucPosPred...

SOLpro
 Referenced in 2 articles
[sw35298]
 instance, to prioritize targets in largescale proteomics projects and to identify mutations likely ... proteins. Results: Here, we first curate a large, nonredundant and balanced training ... used to train a twostage support vector machine (SVM) architecture. The resulting predictor, SOLpro...

LibCVM
 Referenced in 1 article
[sw18879]
 Vector Machine (SVM) training algorithms using coreset approximation on very large scale data sets ... code has been used on a large range of problems, including network intrusion detection, face ... supports standard and several other nonlinear kernel functions supports dense and sparse vector representations supports ... training data files and label renaming supports BVM/CVM/CVMLS for largescale classification supports Core Vector...

ANSYS
 Referenced in 713 articles
[sw00044]
 ANSYS offers a comprehensive software suite that spans...

ATLAS
 Referenced in 199 articles
[sw00056]
 This paper describes the Automatically Tuned Linear Algebra...

CGAL
 Referenced in 402 articles
[sw00118]
 The goal of the CGAL Open Source Project...

Coq
 Referenced in 1906 articles
[sw00161]
 Coq is a formal proof management system. It...

DEA
 Referenced in 246 articles
[sw00194]
 Data Envelopment Analysis (DEA) is becoming an increasingly...

Gerris
 Referenced in 354 articles
[sw00341]
 Gerris is a Free Software program for the...