• PMTK

  • Referenced in 161 articles [sw14689]
  • conceptual and software framework encompassing machine learning, graphical models, and Bayesian statistics (hence the logo...
  • LS-SVMlab

  • Referenced in 26 articles [sw07367]
  • SVMs where needed and a Bayesian framework with three levels of inference has been developed...
  • HumanEva

  • Referenced in 23 articles [sw15489]
  • tracking that uses a relatively standard Bayesian framework with optimization in the form of Sequential ... view laboratory environment, where initialization is available, Bayesian filtering tends to perform well. The datasets...
  • BioBayes

  • Referenced in 24 articles [sw08082]
  • directly. The methods of Bayesian inference provide a consistent framework for modelling and predicting ... present a software package for applying the Bayesian inferential methodology to problems in systems biology ... software package, BioBayes, which provides a framework for Bayesian parameter estimation and evidential model ranking...
  • SUN

  • Referenced in 13 articles [sw28156]
  • Bayesian framework for saliency using natural statistics. We propose a definition of saliency by considering ... attention. The resulting model is a Bayesian framework from which bottom-up saliency emerges naturally...
  • bmds

  • Referenced in 12 articles [sw27804]
  • dimension of object configuration-within a Bayesian framework. A Markov chain Monte Carlo algorithm ... object configuration, along with a simple Bayesian criterion, called MDSIC, for choosing their dimension. Simulation...
  • FABIA

  • Referenced in 9 articles [sw23382]
  • like variational approaches and applies the Bayesian framework. The generative framework allows FABIA to determine...
  • qtlbim

  • Referenced in 7 articles [sw17320]
  • been proposed, primarily in the non-Bayesian framework. The deviance information criterion...
  • bamlss

  • Referenced in 7 articles [sw24276]
  • probabilistic distributional regression models in a Bayesian framework. The distribution parameters may capture location, scale...
  • BDgraph

  • Referenced in 7 articles [sw14815]
  • introduce a novel and efficient Bayesian framework for Gaussian graphical model determination which ... graphs. We show our method outperforms alternative Bayesian approaches in terms of convergence, mixing...
  • Pi4U

  • Referenced in 7 articles [sw18320]
  • Pi4U: A high performance computing framework for Bayesian uncertainty quantification of complex models. We present ... Pi4U, an extensible framework, for non-intrusive Bayesian Uncertainty Quantification and Propagation ... exploit massively parallel computer architectures. The framework incorporates Laplace asymptotic approximations as well as stochastic ... software framework, we also provide guidelines as to the applicability and efficiency of Bayesian tools...
  • GPS-ABC

  • Referenced in 15 articles [sw16117]
  • extremely challenging. The Approximate Bayesian Computation (ABC) framework is the standard statistical tool to handle...
  • bayesmix

  • Referenced in 6 articles [sw23613]
  • Gaussian distributions using JAGS within a Bayesian framework is provided...
  • CASPAR

  • Referenced in 6 articles [sw12242]
  • model that is embedded in a Bayesian framework. A hierarchical prior distribution on the regression...
  • CMfinder

  • Referenced in 6 articles [sw17265]
  • search of motif space, and a Bayesian framework that blends mutual information-based and folding...
  • ARTMAP

  • Referenced in 5 articles [sw03013]
  • neural network (NN) using the Bayesian framework in order to improve its classification accuracy while ... category proliferation. The proposed algorithm, called Bayesian ARTMAP (BA), preserves the FA advantages and also...
  • PLMIX

  • Referenced in 4 articles [sw19806]
  • partial top rankings/orderings within the Bayesian framework. It provides MAP point estimates via EM algorithm ... special case of the noninformative Bayesian analysis with vague priors...
  • PESC

  • Referenced in 6 articles [sw17860]
  • general framework for constrained Bayesian optimization using information-based search. We present an information-theoretic ... framework for solving global black-box optimization problems that also have black-box constraints ... direction towards a unified solution for constrained Bayesian optimization...
  • IBAL

  • Referenced in 27 articles [sw08945]
  • also integrates Bayesian parameter estimation and decisiontheoretic utility maximization thoroughly into the framework. All these...
  • SPOOK

  • Referenced in 11 articles [sw12539]
  • limitations of standard Bayesian networks as a modeling framework for large, complex domains. We proposed ... richly structured modeling language, Object-oriented Bayesian Networks, that we argued would be able...