• KernSmooth

  • Referenced in 978 articles [sw04586]
  • sets without the imposition of a parametric model. The main goal of this book ... readers which are more familiar with the topic...
  • MIM

  • Referenced in 133 articles [sw26139]
  • work on causal inference, relevant when graphical models are given a causal interpretation. This book ... will provide a useful introduction to this topic for students and researchers...
  • Pyomo

  • Referenced in 70 articles [sw04910]
  • provided. A detailed reference of Pyomo’s modeling components is illustrated with extensive examples, including ... final chapters cover advanced topics such as nonlinear models, stochastic models, and scripting examples...
  • topicmodels

  • Referenced in 18 articles [sw07324]
  • package topicmodels: Topic models. Provides an interface to the C code for Latent Dirichlet Allocation ... models and Correlated Topics Models (CTM) by David M. Blei and co-authors...
  • Medlda

  • Referenced in 13 articles [sw11723]
  • Medlda: maximum margin supervised topic models. A supervised topic model can use side information such ... data. However, existing supervised topic models predominantly employ likelihood-driven objective functions for learning ... mechanism behind the hierarchical Bayesian topic models (e.g., LDA) under a unified constrained optimization framework ... likelihood learning of directed or undirected topic models when supervising side information is available. Efficient...
  • MALLET

  • Referenced in 23 articles [sw10602]
  • natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications...
  • ArnetMiner

  • Referenced in 21 articles [sw35619]
  • unified modeling approach to simultaneously model topical aspects of papers, authors, and publication venues. Search ... search have been provided based on the modeling results. In this paper, we describe...
  • lda

  • Referenced in 14 articles [sw07319]
  • Collapsed Gibbs sampling methods for topic models. This package implements latent Dirichlet allocation ... stochastic blockmodel. Inference for all of these models is implemented via a fast collapsed Gibbs ... reading/writing data typically used in topic models, as well as tools for examining posterior distributions...
  • stm

  • Referenced in 8 articles [sw30849]
  • package stm: Estimation of the Structural Topic Model. The Structural Topic Model (STM) allows researchers ... estimate topic models with document-level covariates. The package also includes tools for model selection...
  • LDAvis

  • Referenced in 6 articles [sw23609]
  • package LDAvis: Interactive Visualization of Topic Models. Tools to create an interactive web-based visualization ... topic model that has been fit to a corpus of text data using Latent Dirichlet ... Given the estimated parameters of the topic model, it computes various summary statistics as input ... interpret the topics in their LDA topic model...
  • JGibbLDA

  • Referenced in 9 articles [sw28484]
  • infering hidden/latent topic structures of unseen data upon the model estimated using GibbLDA++ . It also ... provides a convenient API to get topic structures for an array of input strings ... There have been several implementations of this model in C (using Variational Methods), Java ... provide an alternative choice to the topic-model community...
  • TRIPLE

  • Referenced in 21 articles [sw02460]
  • object-oriented and other data models like UML, Topic Maps, or RDF Schema. Description logics...
  • dlm

  • Referenced in 30 articles [sw04503]
  • some specialized topics are dealt with. Chapter 3 discusses model specifications. The first paragraph deals...
  • faraway

  • Referenced in 24 articles [sw04357]
  • modern and covers topics that include GLM diagnostics, generalized linear mixed models, trees, and even...
  • HYPLAS

  • Referenced in 201 articles [sw17661]
  • derivation and description of various constitutive models – based on phenomenological hyperelasticity, elastoplasticity and elasto-viscoplasticity ... text provides a complete account of the topics considered but rather...
  • HierNMF2

  • Referenced in 5 articles [sw34622]
  • large-scale document clustering and topic modeling. It is about 20 times faster than...
  • TopicRNN

  • Referenced in 3 articles [sw36211]
  • semantic nature. In contrast, latent topic models are able to capture the global underlying semantic ... merits of RNNs and latent topic models: it captures local (syntactic) dependencies using ... dependencies using latent topics. Unlike previous work on contextual RNN language modeling, our model ... also yields sensible topics, making it a useful alternative to document models such as latent...
  • TMBP

  • Referenced in 2 articles [sw14435]
  • topic modeling toolbox using belief propagation. Latent Dirichlet allocation (LDA) is an important hierarchical Bayesian ... model for probabilistic topic modeling, which attracts worldwide interests and touches on many important applications ... computational biology. This paper introduces a topic modeling toolbox (TMBP) based on the belief propagation ... Linux. Compared with existing topic modeling packages, the novelty of this toolbox lies...
  • emdbook

  • Referenced in 23 articles [sw11107]
  • Ecological Models and Data_, a book presenting maximum likelihood estimation and related topics for ecologists...