• LS-SVMlab

  • Referenced in 26 articles [sw07367]
  • been introduced within the context of statistical learning theory and structural risk minimization...
  • PyMVPA

  • Referenced in 6 articles [sw15259]
  • analysis. Drawing on the field of statistical learning theory, these new classifier-based analysis techniques...
  • SAKEIMA

  • Referenced in 1 article [sw36894]
  • dimension, a core concept from statistical learning theory, of a properly defined set of functions...
  • animation

  • Referenced in 10 articles [sw11112]
  • theory, mathematical statistics, multivariate statistics, nonparametric statistics, sampling survey, linear models, time series, computational statistics ... data mining and machine learning. These functions might be helpful in teaching statistics and data...
  • iisignature

  • Referenced in 6 articles [sw32898]
  • theory of differential equations driven by rough paths, and also have applications in statistics ... machine learning. We present algorithms for efficiently calculating these signatures, and benchmark their performance...
  • philentropy

  • Referenced in 1 article [sw19749]
  • parametric statistics, information theory, and machine learning tasks that are based on comparing univariate...
  • ALEKS

  • Referenced in 1 article [sw39954]
  • learning in knowledge spaces) educational software system is an instantiation of knowledge space theory ... millions of students in mathematics, chemistry, statistics and accounting. The software employs a probabilistic assessment ... insights learned from student data. We present several relationships between theory and data ... statistical measures and ones adapted to the KST context. Finally, we examine the learning process...
  • ARTMAP

  • Referenced in 7 articles [sw03013]
  • category hypervolume, 4) using Bayes’ decision theory for learning and inference, and 5) em- ploying ... with respect to classification accuracy, sensitivity to statistical overlapping, learning curves, expected loss, and category...
  • GMMBAYES

  • Referenced in 1 article [sw14964]
  • study existing and develop new methods for learning Gaussian mixture models. Furthermore, class conditional probability ... functionality (training and classification) based on statistical theory (e.g., Bayesian inference) and Gaussian mixture model...
  • sigma GTTM

  • Referenced in 2 articles [sw22132]
  • σGTTM III: Learning based Time-span Tree Generator based on PCFG. We propose an automatic ... time-span tree based on the generative theory of tonal music (GTTM). Although analyzer based ... span reduction in GTTM based on a statistical model called probabilistic context-free grammar, which...
  • GLIMMIX_Rasch

  • Referenced in 1 article [sw37267]
  • differ from classical true score theory (CTST). General statistical software packages (e.g., SPSS or STATA ... have to spend time and efforts learning how to operate them. The latest version...
  • ProPPR

  • Referenced in 1 article [sw32915]
  • scalable inference. A key challenge in statistical relational learning is to develop a semantically rich ... framework that enables efficient learning and inference on graphs: using an abductive second-order probabilistic ... logic, we show that first-order theories can be automatically generated via parameter learning; that...
  • LAGO

  • Referenced in 1 article [sw40196]
  • learn-as-you-go” (LAGO) studies. In Learn-As-you-GO (LAGO) adaptive studies ... previous stages, violating standard statistical theory. We develop an estimator for the intervention effects...
  • reval

  • Referenced in 1 article [sw34898]
  • priori information within an unsupervised learning framework; and 2) the absence of a unique clustering ... validation methods to determine best clustering solutions. Statistical software, both in R and Python, usually ... relative validation solutions can further the theory of clustering by enriching the already available methods ... that replicates, via supervised learning, on unseen subsets of data. The package works with multiple...
  • ADOL-C

  • Referenced in 249 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...
  • AMD

  • Referenced in 60 articles [sw00039]
  • Algorithm 837: AMD is a set of routines...
  • ATLAS

  • Referenced in 199 articles [sw00056]
  • This paper describes the Automatically Tuned Linear Algebra...
  • ACL2

  • Referenced in 283 articles [sw00060]
  • ACL2 is both a programming language in which...
  • BARON

  • Referenced in 354 articles [sw00066]
  • BARON is a computational system for solving nonconvex...