Prediction Models That Include Genetic Data

Prediction models that include genetic data.

Fitting multilevel multivariate models with missing data in responses and covariates that may include interactions and nonlinear terms

The paper extends existing models for multilevel multivariate data with mixed response types to handle quite general types and patterns of missing data values in a wide range of multilevel generalized linear models. It proposes an efficient Bayesian modelling approach that allows missing values in covariates, including models where there are interactions or other functions of covariates such as...

Japanese Expressions that Include English Expressions

We extracted English expressions that appear in Japanese sentences in newspaper articles and on the Internet. The results obtained from the newspaper articles showed that the preposition “in” has been regularly used for more than ten years, and it is still regularly used now. The results obtained from the Internet articles showed there were many kinds of English expressions from various parts o...

Summarization of Documents that Include Graphics

When documents include graphics such as diagrams, photos, and data plots, the graphics may also require summarization. This paper discusses essential differences in informational content and rhetorical structure between text and graphics, as well as their interplay. The three approaches to graphics summarization discussed are: Selection, in which a subset of figures is chosen; Merging, in which...

Prediction of Gain in LD-CELP Using Hybrid Genetic/PSO-Neural Models

In this paper, the gain in LD-CELP speech coding algorithm is predicted using three neural models, that are equipped by genetic and particle swarm optimization (PSO) algorithms to optimize the structure and parameters of neural networks. Elman, multi-layer perceptron (MLP) and fuzzy ARTMAP are the candidate neural models. The optimized number of nodes in the first and second hidden layers of El...