
abn
 Referenced in 2 articles
[sw31036]
 package abn: Modelling Multivariate Data with Additive Bayesian Networks. Bayesian network analysis is a form ... dependency structure between random variables. An additive Bayesian network model consists of a form ... comprises a generalized linear model, GLM. Additive Bayesian network models are equivalent to Bayesian multivariate ... provides routines to help determine optimal Bayesian network models for a given data set, where...

RHugin
 Referenced in 6 articles
[sw16347]
 build Bayesian belief networks, enter and propagate evidence, and to retrieve beliefs. Additionally, the RHugin...

LSSVMlab
 Referenced in 26 articles
[sw07367]
 regularization networks and Gaussian processes but additionally emphasize and exploit primaldual interpretations. Links between ... analysis and extensions to unsupervised learning, recurrent networks and control are available. Robustness, sparseness ... into LSSVMs where needed and a Bayesian framework with three levels of inference...

COBAYN
 Referenced in 1 article
[sw28818]
 using independent microarchitecture features and Bayesian networks. The article also presents an evaluation based ... feature collection approaches. In addition, the article compares Bayesian networks with respect to several state...

neuraltangents
 Referenced in 4 articles
[sw39529]
 limit. Infinitewidth networks can be trained analytically using exact Bayesian inference or using gradient ... descent via the Neural Tangent Kernel. Additionally, Neural Tangents provides tools to study gradient descent ... training dynamics of wide but finite networks in either function space or weight space...

GeNIe
 Referenced in 7 articles
[sw13964]
 that includes beginnersoriented tutorials for Bayesian networks, influence diagrams, and basic decision analytic techniques ... value of information, and sensitivity analysis. In addition to its native file format, GeNie supports ... site. The package includes several large Bayesian network and influence diagrams models, useful in teaching...

CTBNRLE
 Referenced in 5 articles
[sw12961]
 engine (CTBNRLE). A continuous time Bayesian network (CTBN) provides a compact (factored) description ... inference for any type of evidence pattern. Additionally, the library supplies visualization methods for graphically...

MIxBN
 Referenced in 1 article
[sw39155]
 learning Bayesian networks from data containing discrete and continuous variables (mixed data). In addition ... structural and parameters learning of a Bayesian network on discretized data, (2) structural and parameters...

NetQuest
 Referenced in 5 articles
[sw13969]
 casting network measurement in a general Bayesian decision theoretic framework, we achieve flexibility. Our framework ... certain parts of the network; ii) augmented design for conducting additional measurements given existing observations...

bnspatial
 Referenced in 1 article
[sw15268]
 Package for the spatial implementation of Bayesian Networks and mapping in geographical space. It makes ... states of any node of the network. Some additional features are provided as well, such...

ARTMAP
 Referenced in 5 articles
[sw03013]
 fuzzy ARTMAP (FA) neural network (NN) using the Bayesian framework in order to improve ... category proliferation. The proposed algorithm, called Bayesian ARTMAP (BA), preserves the FA advantages and also ... order to predict the class. In addition, the BA estimates the class posterior probability...

GemPy
 Referenced in 5 articles
[sw31288]
 full 3D geological models, including fault networks, fault–surface interactions, unconformities and dome structures ... generate 3D geological models and additional assets for advanced scientific investigations. These assets provide ... enable the link to machinelearning and Bayesian inference frameworks and thus a path...

BGRMI
 Referenced in 2 articles
[sw29320]
 breast cancer research. Reconstructing gene regulatory networks (GRNs) from gene expression data is a challenging ... fast but less accurate. We propose Bayesian Gene Regulation Model Inference (BGRMI), a modelbased ... course gene expression data. BGRMI uses a Bayesian framework to calculate the probability of different ... computational cost of competing algorithms. Additionally, it can incorporate prior knowledge of potential gene regulation...

pomegranate
 Referenced in 1 article
[sw26684]
 mixture models, hidden Markov models, and Bayesian networks. A primary focus of pomegranate ... this focus involves the collection of additive sufficient statistics from data sets as a strategy...

PMT
 Referenced in 0 articles
[sw29885]
 winner takes all), based on the Bayesian network equivalence of the model. Model parameters ... something that comes useful in building recursive additive mixtures of those models (e.g., boosting...

CARlasso
 Referenced in 1 article
[sw39712]
 controlled experiments. In addition, CARlasso 1) enforces sparsity in the network via LASSO; 2) allows ... ease of use. The package also supports Bayesian graphical LASSO and several of its hierarchical...

BNFinder2
 Referenced in 1 article
[sw34896]
 Bayesian network learning and Bayesian classification. Bayesian Networks (BNs) are versatile probabilistic models applicable ... biological applications the structure of the network is usually unknown and needs to be inferred ... finding the optimal structure of the network given a number of experimental observations. Its second ... structure learning time; (ii) inclusion of an additional scoring function based on mutual information criteria...

VBPR
 Referenced in 1 article
[sw35445]
 VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback. Modern recommender systems model people and items ... purchase histories, browsing logs, etc.); in addition, some recommender systems make use of side information ... from product images using (pretrained) deep networks, on top of which we learn...

cdd
 Referenced in 113 articles
[sw00114]
 The program cdd+ (cdd, respectively) is a C...

CGAL
 Referenced in 381 articles
[sw00118]
 The goal of the CGAL Open Source Project...