conclusions here we review the clinical applications, advantages, and limitations of the tuberculin skin test and interferon-gamma release assays and provide an overview of the most recent systematic reviews conducted for the comparison of these tests. context it has been estimated that one-third of the world’s population are suffering from latent tuberculosis infection (ltbi). in order to cont...

A common modeling approach for data collected on discrete scales is to introduce continuous latent variables, treated as missing data, that are linked to the observations via a censoring mechanism. Bayesian approaches typically use data augmentation within a Markov chain Monte Carlo (MCMC) algorithm that simplifies analysis by avoiding direct evaluation of the likelihood. However, if not carefu...

We present a non-negative inductive latent factor model for binaryand count-valued matrices containing dyadic data, with side information along the rows and/or the columns of the matrix. The side information is incorporated by conditioning the row and column latent factors on the available side information via a regression model. Our model can not only perform matrix factorization and completio...

Videos express highly structured spatio-temporal patterns of visual data. A video can be thought of as being governed by two factors: (i) temporally invariant (e.g., person identity), or slowly varying (e.g., activity), attributeinduced appearance, encoding the persistent content of each frame, and (ii) an inter-frame motion or scene dynamics (e.g., encoding evolution of the person executing th...

Gaussian process (GP) regression is a widely used method for non-linear prediction. The performance of the GP regression depends on whether it can properly capture the covariance structure of target variables, which is represented by kernels between input data. However, when the input is represented as a set of features, e.g. bag-of-words, it is difficult to calculate desirable kernel values be...