• TTLocVis

  • Referenced in 3 articles [sw40767]
  • generate topic distributions from Latent Dirichlet Allocation (LDA) Topic Models for geo-coded Tweets ... public discourse on various topics in space and time. The package can be used...
  • semds

  • Referenced in 1 article [sw42291]
  • Fits a structural equation multidimensional scaling (SEMDS) model for asymmetric and three-way input dissimilarities ... dissimilarities are measured with errors. The latent dissimilarities are estimated as factor scores within ... objects are represented in a low-dimensional space...
  • TransG

  • Referenced in 3 articles [sw34443]
  • symbolic entities and relations into continuous vector space, has become a new, hot topic ... Gaussian mixture model for embedding, TransG. The new model can discover latent semantics...
  • BAGAN

  • Referenced in 1 article [sw42574]
  • majority and minority classes. The generative model learns useful features from majority classes and uses ... apply class conditioning in the latent space to drive the generation process towards a target...
  • InfoGraph

  • Referenced in 2 articles [sw37754]
  • also some recent methods based on language models (e.g. graph2vec) but they tend to only ... from unlabeled data while preserving the latent semantic space favored by the current supervised task ... with state-of-the-art semi-supervised models...
  • timedelay

  • Referenced in 0 articles [sw17892]
  • profile likelihood approaches. The model is based on a state-space representation for irregularly observed ... time series data generated from a latent continuous-time Ornstein-Uhlenbeck process. Our Bayesian method ... Gibbs sampler, producing posterior samples of the model parameters that include the time delay...
  • mcfa

  • Referenced in 1 article [sw25601]
  • class of multivariate finite mixture models) with a common component matrix for the factor loadings ... before the transformation of the latent factors to be white noise. It is designed specifically ... data points in a lower (q-dimensional) space, where q is the number of factors ... distributions. Maximum likelihood estimates of the model parameters are obtained using the Expectation–Maximization algorithm...
  • LibriPhrase

  • Referenced in 1 article [sw42476]
  • text representations within a common latent space, we adopt an attention-based cross-modal matching ... LibriSpeech for efficiently training keyword spotting models. Our proposed method achieves competitive results on various...
  • iBATCGH

  • Referenced in 1 article [sw19388]
  • relate the gene expression levels to latent copy number states which, in turn, are related ... surrogate CGH measurement via a hidden Markov model. Selection of relevant associations is performed employing ... Monte Carlo techniques that efficiently explores the space of all possible associations. In this chapter...
  • PottsMix

  • Referenced in 1 article [sw32783]
  • model that builds on the mesostate-space model developed by Daunizeau & Friston [Daunizeau and Friston ... NeuroImage 2007; 38, 67-81]. Our new model incorporates two major extensions: (i) We combine ... model for dealing with the two modalities simultaneously; (ii) we incorporate the Potts model ... cortical surface into a small number of latent states termed mesostates. The cortical surface...
  • COMA

  • Referenced in 1 article [sw36369]
  • generation and animation. Traditional models learn a latent representation of a face using linear subspaces ... address this, we introduce a versatile model that learns a non-linear representation ... multiple scales within the model. In a variational setting, our model samples diverse realistic ... data, our trained model outperforms state-of-the-art face models with 50% lower reconstruction...
  • ADOL-C

  • Referenced in 257 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...
  • ATLAS

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

  • Referenced in 120 articles [sw00322]
  • The GAUSS Mathematical and Statistical System is a...
  • LAPACK

  • Referenced in 1713 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • Macaulay2

  • Referenced in 1958 articles [sw00537]
  • Macaulay2 is a software system devoted to supporting...
  • Maple

  • Referenced in 5403 articles [sw00545]
  • The result of over 30 years of cutting...
  • MATCONT

  • Referenced in 455 articles [sw00551]
  • MATCONT: Matlab software for bifurcation study of dynamical...
  • Mathematica

  • Referenced in 6445 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • Matlab

  • Referenced in 13702 articles [sw00558]
  • MATLAB® is a high-level language and interactive...