A machine learning system was used to induce rule sets from three training data sets that included patients who had delivered preterm infants. Two series of experiments were performed: First, prediction for testing cases was done using more specific rules; Secondly, prediction was done on the basis of less specific rules. As a result, the error rate for prediction based on less specific rules w...

To evaluate and predict component-based software security, a two-dimensional model of software security is proposed by Stochastic Petri Net in this paper. In this approach, the software security is modeled by graphical presentation ability of Petri nets, and the quantitative prediction is provided by the evaluation capability of Stochastic Petri Net and the computing power of Markov chain. Each...

In this paper we give a brief overview of the Webis group’s participation in the TREC 2011 Sessions track with an extended version of our last year’s approach [HSV10]. The basic idea can be described as a conservative query expansion based on terms used in previous queries or terms contained in clicked snippets. Furthermore, a query’s result set is reduced by removing documents shown for previo...

In this paper we present the retrieval and adaptation mechanisms used in our information system on travel medicine, docQuery. The retrieval method’s main feature is an overall improved accuracy of retrieval results’ similarities through a more diverse distribution of similarities over the retrieved result sets. Its underlying idea is the execution of several consecutive retrievals on one case b...

We study the classifier quantification problem in the context of the topical opinion retrieval, that consists in estimating proportions of the sentiment categories in the result set of a topic. We propose a methodology to circumvent individual classification allowing a real-time sentiment analysis for huge volumes of data. After discussing existing approaches to quantification, the novel propos...

Awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. Therefore, the present study two hybrid models, Wavelet- Adaptive Neural Fuzzy Interference System (WANFIS) and Wavelet- Artificial Neural Network (WANN) are used for flow prediction of Gamasyab River (Nahavand, Hamedan, Iran...

Corporate directors are influenced by overconfidence, which is one of the personality traits of individuals; it may take irrational decisions that will have a significant impact on the company's performance in the long run. The purpose of this paper is to validate and compare the Naive Bayesian Classification algorithm and probit regression in the prediction of Management's overconfident at pre...