• BayesLogit

  • Referenced in 44 articles [sw09312]
  • latent variables. We propose a new data-augmentation strategy for fully Bayesian inference in models ... count data. In each case, our data-augmentation strategy leads to simple, effective methods ... Hastings; and (2) outperform other known data-augmentation strategies, both in ease...
  • Monomvn

  • Referenced in 10 articles [sw08173]
  • scale-mixtures for Gibbs sampling. Monotone data augmentation extends this Bayesian approach to arbitrary missingness...
  • MNP

  • Referenced in 7 articles [sw10537]
  • based on the efficient marginal data augmentation algorithm that is developed by Imai...
  • bnlearn

  • Referenced in 46 articles [sw08265]
  • tests. The Naive Bayes and the Tree-Augmented Naive Bayes (TAN) classifiers are also implemented ... utility functions (model comparison and manipulation, random data generation, arc orientation testing, simple and advanced...
  • Augmentor

  • Referenced in 2 articles [sw28298]
  • Image Augmentation Library for Machine Learning. The generation of artificial data ... based on existing observations, known as data augmentation, is a technique used in machine learning ... level API for the expansion of image data using a stochastic, pipeline-based approach which ... sampled from a distribution of augmented images at runtime. Augmentor provides methods for most standard...
  • batchgenerators

  • Referenced in 2 articles [sw32333]
  • suit all our deep learning data augmentation needs. It is not (yet) perfect...
  • inorm

  • Referenced in 2 articles [sw24701]
  • using the EM algorithm and a data augmentation MCMC). By default it uses a Windows...
  • DeepSentiPers

  • Referenced in 1 article [sw32537]
  • Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus. This paper focuses ... architectures need to feed on big annotated data as well as an accurate design ... both cases. Second, we suggested three data augmentation techniques for the low-resources Persian sentiment ... word embedding methods show that our data augmentation methods and intended models successfully address...
  • Albumentations

  • Referenced in 1 article [sw32338]
  • Albumentations: fast and flexible image augmentations. Data augmentation is a commonly used technique for increasing...
  • DDDAS

  • Referenced in 29 articles [sw18325]
  • additional data into an executing application – these data can be archival or collected on-line ... promise of improving modeling methods, and augmenting the analysis and prediction capabilities of application simulations ... frameworks, algorithms tolerant to perturbations from dynamic data injection and steering, and systems software...
  • Vipers

  • Referenced in 2 articles [sw13034]
  • VIPERS: a data flow visual programming environment based on the Tcl language. This paper presents ... visual programming environment, based on an augmented data-flow model. The novel design peculiarity...
  • tglm

  • Referenced in 1 article [sw27007]
  • Gibbs sampler with Polya-Gamma data augmentation to fit logistic and probit regression under independent...
  • HOMPACK90

  • Referenced in 45 articles [sw00412]
  • differential equation based, normal flow, quasi-Newton augmented Jacobian matrix – are provided for tracking homotopy ... games, support for several sparse matrix data structures, and new iterative algorithms for large sparse...
  • U-Net

  • Referenced in 1 article [sw33176]
  • relies on the strong use of data augmentation to use the available annotated samples more...
  • Mrnet

  • Referenced in 3 articles [sw09057]
  • tool builders to incorporate custom data reductions to augment its collection of built-in reductions ... MRNet not only for multicast and simple data reductions but also with custom histogram...
  • Filaments

  • Referenced in 5 articles [sw04841]
  • focusing on how to augment Filaments to automatically place data on processors (in the Adapt...
  • ToXgene

  • Referenced in 8 articles [sw12723]
  • declarative, and thus speed up the data generation cycle; general enough to produce fairly complex ... Schema notation augmented with annotations for specifying certain properties of the intended data, such...
  • BIONJ

  • Referenced in 29 articles [sw08301]
  • based on a simple model of sequence data. We propose an improved version ... finding the correct tree may be augmented by as much as 15%. (http://mbe.oxfordjournals.org/content/14/7/685.short)...
  • simPop

  • Referenced in 3 articles [sw23153]
  • protected data, and as a tool to create ”augmented datasets” to serve as input...
  • broom

  • Referenced in 4 articles [sw18937]
  • statistical analysis objects from R into tidy data frames, so that they can more easily ... regression; augment, which adds columns to the original data such as predictions, residuals and cluster...