• SVMstruct

  • Referenced in 31 articles [sw04075]
  • Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning...
  • OOQP

  • Referenced in 39 articles [sw04743]
  • structured QPs, including general sparse QPs, QPs arising from support vector machines, Huber regression problems ... design efficient solvers for new classes of structured QPs. Its design allows for easy substitution...
  • LS-SVMlab

  • Referenced in 26 articles [sw07367]
  • least squares support vector machines. Support Vector Machines is a powerful methodology for solving problems ... context of statistical learning theory and structural risk minimization. In the methods one solves convex ... problems, typically quadratic programs. Least Squares Support Vector Machines (LS-SVM) are reformulations...
  • AK-MCS

  • Referenced in 67 articles [sw18303]
  • Monte Carlo Simulation. An important challenge in structural reliability is to keep to a minimum ... response surfaces. Polynomial Chaos [1] and Support Vector Machine [2] are also possibilities and have ... Kriging metamodel to assess the reliability of structures in a more efficient way. The method...
  • IllinoisSL

  • Referenced in 1 article [sw36736]
  • structured prediction models. It supports structured Support Vector Machines and structured Perceptron. The library consists...
  • SCPRED

  • Referenced in 6 articles [sw26876]
  • class prediction methods that predict the four structural classes defined in SCOP provide ... prediction. Results: SCPRED uses a support vector machine classifier that takes several custom-designed features ... input to predict the structural classes. Based on extensive design that considers over 2300 index ... competing methods that are based on support vector machine, logistic regression, and ensemble of classifiers...
  • TPMSVM

  • Referenced in 14 articles [sw12692]
  • Similar to the parametric-margin ν-support vector machine (par-ν-SVM), this TPMSVM ... especially when the data has heteroscedastic error structure, that is, the noise strongly depends...
  • PersistenceImages

  • Referenced in 35 articles [sw41418]
  • structure valuable to machine learning tasks. We convert a PD to a finite-dimensional vector ... with vector-based machine learning tools, such as linear sparse support vector machines, which identify...
  • SMOQ

  • Referenced in 1 article [sw20299]
  • support vector machines. BACKGROUND: It is important to predict the quality of a protein structural ... model before its native structure is known. The method that can predict the absolute local ... refining protein models. RESULTS: We developed a machine learning tool (SMOQ) that can predict ... model. SMOQ uses support vector machines (SVM) with protein sequence and structural features (i.e. basic...
  • ccSVM

  • Referenced in 1 article [sw35176]
  • individual based on its genotype. Support Vector Machines are a wide spread approach for classifying ... high accuracy, their ability to deal with structured data such as strings, and the ease ... population structure, age or gender or experimental conditions in Support Vector Machine classification. Results ... transformed into a standard Support Vector Machine with rescaled input data. In our experiments...
  • NSVMOOP

  • Referenced in 3 articles [sw14484]
  • paper, we present a novel nonparallel support vector machine based on one optimization problem (NSVMOOP ... largest possible angle between the normal vectors and the decision hyperplanes in the feature space ... same time implementing the structural risk minimization principle. Different from other nonparallel classifiers ... such as the representative twin support vector machine, it constructs two nonparallel hyperplanes simultaneously...
  • iPHLoc-ES

  • Referenced in 2 articles [sw25871]
  • evolutionary and structural features of phage protein and employ support vector machine...
  • MemHyb

  • Referenced in 15 articles [sw25194]
  • membrane proteins. Knowledge of membrane protein’s structure and function has great importance in biological ... classification system based on support vector machine (SVM) with error correction code. We employ...
  • LIBRUS

  • Referenced in 1 article [sw25078]
  • using machine learning and compare it to previous sequence-based work and current structure-based ... than a support vector machine learner using profiles and predicted secondary structure. We combine these...
  • RNAstrand

  • Referenced in 1 article [sw23126]
  • between structured RNAs and their complements. We present here a support vector machine that reliably...
  • PSOFuzzySVM-TMH

  • Referenced in 3 articles [sw27664]
  • ensemble feature space by incorporated fuzzy support vector machine. Membrane protein is a central component ... owing to the lack of its recognized structures, the identification of TM helix ... form ensemble feature space. Fuzzy-support vector Machine is utilized as a classification algorithm ... academia and research community for further structure and functional studies on transmembrane proteins...
  • TAUCS

  • Referenced in 32 articles [sw04014]
  • tens of gigabytes on 32-bit machines with 32-bit file systems. Out-of-Core ... tree-structured matrices. All of these are symmetric orderings. Matrix Operations. Matrix-vector multiplication, triangular ... Schur complement elements iteratively. Multilevel-Support-Graph Preconditioners. Similar to domain-decomposition preconditioners. Includes...
  • miTarget

  • Referenced in 4 articles [sw27473]
  • genes. Results: We implemented miTarget, a support vector machine (SVM) classifier for miRNA target gene ... similarity measure for SVM features, categorized by structural, thermodynamic, and position-based features. The latter...
  • SVM Toolbox

  • Referenced in 3 articles [sw22055]
  • foundations of Support Vector Machines (SVM) have been developed by Vapnik [1], and are gaining ... promising empirical performance. The formulation embodies the Structural Risk Minimisation (SRM) principle, as opposed ... problems. The toolbox provides routines for support vector classification and support vector regression...
  • PredLactamase

  • Referenced in 12 articles [sw16470]
  • pseudo-amino acid composition and support vector machine. β-Lactam class of antibiotics is used ... lactam ring. On the basis of primary structures, β-lactamase family of enzymes is divided...