• SVMTorch

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

  • Referenced in 173 articles [sw04880]
  • large-scale 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 large-scale problems, by iteratively using existing support vector machine code. However...
  • SHOGUN

  • Referenced in 104 articles [sw03517]
  • SHOGUN, which is designed for unified large-scale 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 large-scale 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 large-scale 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 L2-regularized classification (such as logistic ... logistic regression) and L2-regularized support vector regression (with L1- or L2-loss). The main...
  • BudgetedSVM

  • Referenced in 4 articles [sw10893]
  • scalable training of Support Vector Machine (SVM) approximators: Adaptive Multi-hyperplane Machines, Low-rank Linearization ... BudgetedSVM, an efficient API for handling large-scale, high-dimensional data sets, as well...
  • Nieme

  • Referenced in 1 article [sw14441]
  • introduce Nieme, a machine learning library for large-scale classification, regression and ranking. Nieme relies ... recent models such as the pegasos support vector machine or l1-regularized maximum entropy models ... situations, but is particularly interesting for large-scale learning tasks where both the examples...
  • MLSVM

  • Referenced in 0 articles [sw34634]
  • solving nonlinear support vector machine (SVM) is prohibitive on large-scale data. In particular, this...
  • HeroSvm

  • Referenced in 1 article [sw13803]
  • Support Vector Machine (SVM) represents the state-of-the-art classification technique. However, training ... large training set becomes a bottleneck. HeroSvm is a high-performance library for training ... provided to train SVM on a large-scale learning problem efficiently for research purpose ... HeroSVM can facilitate the training of support vector machine and solve some real-world problems...
  • NucPosPred

  • Referenced in 2 articles [sw24770]
  • NucPosPred, which was specifically designed for large-scale identification of nucleosome positioning ... algorithms (gradient-boosting decision tree and support vector machine). The overall accuracy obtained with NucPosPred...
  • SOLpro

  • Referenced in 2 articles [sw35298]
  • instance, to prioritize targets in large-scale proteomics projects and to identify mutations likely ... proteins. Results: Here, we first curate a large, non-redundant and balanced training ... used to train a two-stage support vector machine (SVM) architecture. The resulting predictor, SOLpro...
  • LibCVM

  • Referenced in 1 article [sw18879]
  • Vector Machine (SVM) training algorithms using core-set 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/CVM-LS for large-scale 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...