When the disaster occurs, the social network site such as Twitter is increasingly being used for helping direct rescue operations. This article describes the methods we used in the Fire2017. We regarded the distinction of need-tweets and availability-tweets as classification tasks, and the logistic regression and Support Vector Machine are used to decide the type of the tweets. In the need and ...

Logistic regression (LR), discriminant analysis (DA), and neural networks (NN) were used to predict ordered and disordered regions in proteins. Training data were from a set of non-redundant X-ray crystal structures, with the data being partitioned into N-terminal, C-terminal and internal (I) regions. The DA and LR methods gave almost identical 5-cross validation accuracies that averaged to the...

While for many problems in medicine classification models are being developed, Bayesian network classifiers do not seem to have become as widely accepted within the medical community as logistic regression models. We compare first-order logistic regression and naive Bayesian classification in the domain of reproductive medicine and demonstrate that the two techniques can result in models of com...

In this paper, techniques for combining confidence measures are proposed and evaluated. Confidence measures are useful for rejecting incorrect data, which is an important issue in speech recognition based interactive systems. Many ways of computing individual confidence measures have already been investigated. A detailed analysis of various confidence measures shows that they behave differently...

Using a multi-layer multinomial Bayesian network, we study the interplay between Bayesian inference and natural image learning in relation to receptive field properties of early visual cortex. Keywords—Bayesian inference, natural image learning

The purpose of this research is to examine the variables that influence buying behavior for a sample of social network sites users who are offline buyers of hospitality services. Subsequently, we do the same of social network sites users who are online buyers in the same sector. Finally, we compare both types of clients and discuss their different purchasing behavior. Logistic regression is use...

Flight delay creates major problems in the current aviation system. Methods are needed to analyze the manner in which micro-level causes propagate to create system-level patterns of delay. Traditional statistical methods are inadequate to the task. This paper proposes the use of Bayesian networks (BNs) to investigate and visualize propagation of delays among airports. The BN structure was devel...

This paper considers how relational probabilistic models adapt to population size. First we show that what are arbitrary choices for nonrelational domains become a commitment to how a relational model adapts to population change. We show how this manifests in a directed model where the conditional probabilities are represented using the logistic function, and show why it needs to be extended to...

We submitted a system composed of 26 subsystems as the required run. 13 subsystems are based on Acoustic Keyword Spotting and 13 on DTW. All of them were using three state phoneme posteriors as input. The underlaying phoneme posterior estimators were both in-language (Czech, English) and out-of-language (other 12 languages). We also performed unsupervised adaptation of the artificial neural net...

In this paper we consider different strategies for constructing click-prediction models that can subsequently be used for audience segmentation and behavioural targeting. In particular, we address the question whether one should build separate models for each audience segment or instead build a single model that simultaneously predicts membership in multiple segments. We discuss the pros and co...