Supplementary Material The Nonparametric Metadata Dependent Relational Model
ثبت نشده
چکیده
1.1. Independence Sampler for Topic Activations V The posterior of v:i does not have a closed analytical form due to the nonlinearity associated with the logistic mapping of our stick-breaking weights π:i. We instead perform a Metropolis-Hastings update with an independence proposal q(v∗ :i | v:i, η, φ:i, λV ) = N(v∗ :i | ηφ:i, λ −1 V IK), which represents a sample from our prior. Since our proposal distributions are equal to the prior we need to evaluate in our acceptance ratio A(v∗ :i, v:i), these terms cancel and we are left with a simple ratio between our likelihood terms so that A(v∗ :i, v:i) is now:
منابع مشابه
The Nonparametric Metadata Dependent Relational Model
We introduce the nonparametric metadata dependent relational (NMDR) model, a Bayesian nonparametric stochastic block model for network data. The NMDR allows the entities associated with each node to have mixed membership in an unbounded collection of latent communities. Learned regression models allow these memberships to depend on, and be predicted from, arbitrary node metadata. We develop eff...
متن کاملMetadata Enrichment for Automatic Data Entry Based on Relational Data Models
The idea of automatic generation of data entry forms based on data relational models is a common and known idea that has been discussed day by day more than before according to the popularity of agile methods in software development accompanying development of programming tools. One of the requirements of the automation methods, whether in commercial products or the relevant research projects, ...
متن کاملSupplementary to Nonparametric Tree Graphical Models via Kernel Embeddings
The supplementary material contains proofs of the main theorems (Section 1), and two additional experiments (Section 2): a reconstruction of camera orientation from images; and an additional set of document retrieval experiments, using a language graph constructed via the Chow-Liu algorithm.
متن کاملA Meta-Relational Approach for the Definition and Management of Hybrid Learning Objects
Electronic learning objects (LOs) are commonly conceived of as digital units of information used for teaching and learning. To facilitate their classification for pedagogical planning and retrieval purposes, LOs are complemented with metadata (e.g., the author). These metadata are usually restricted by a set of predetermined tags to which the classification schema must conform (e.g., IEEE LOM)....
متن کاملNonparametric Bayesian inference for mean residual life functions in survival analysis.
Modeling and inference for survival analysis problems typically revolves around different functions related to the survival distribution. Here, we focus on the mean residual life (MRL) function, which provides the expected remaining lifetime given that a subject has survived (i.e. is event-free) up to a particular time. This function is of direct interest in reliability, medical, and actuarial ...
متن کامل