A short introduction characterizes the task of identification of multiword expressions and their idiosyncratic properties. Then, this document gives a detailed description of loglinear models and latent semantic analysis. The description enumerates components of the models, estimation techniques for the model parameters and addresses the interpretation of the models and their evaluation. We als...

Childhood undernutrition is an important public health problem. Many studies have investigated the factors of childhood undernutrition, but not the association between the undernutrition indicators. This study aimed at investigating the association between the childhood undernutrition indicators. A loglinear model of cell counts of a three way table of stunting, wasting, and underweight was fit...

We demonstrate how to test for conditional independence of two variables with categorical data using Poisson log-linear models. The size the conditioning set can vary from 0 (simple independence) up many variables. also provide a function in R performing test. Instead calculating all possible tables loop we perform loglinear models and thus speeding process. Time comparison simulation studies a...

Despite their successes, what makes kernel methods difficult to use in many large scale problems is the fact that storing and computing the decision function is typically expensive, especially at prediction time. In this paper, we overcome this difficulty by proposing Fastfood, an approximation that accelerates such computation significantly. Key to Fastfood is the observation that Hadamard mat...

Despite their successes, what makes kernel methods difficult to use in many large scale problems is the fact that computing the decision function is typically expensive, especially at prediction time. In this paper, we overcome this difficulty by proposing Fastfood, an approximation that accelerates such computation significantly. Key to Fastfood is the observation that Hadamard matrices when c...