Possibilitic networks, which are compact representations of possibility distributions, are powerful tools for representing and reasoning with uncertain and incomplete knowledge. According to the operator conditioning is based on, there are two possibilistic settings: quantitative and qualitative. This paper deals with qualitative possibilistic network classifiers under uncertain inputs. More pr...

The authors present a novel system designed to evolve sets of rule bases used to optimise the order of lists of data arrays. Based upon induction learning techniques, an ulgorithm is described which is able to learn the rules most appropriate to ordering data in an attempt to promote a particular trait. A classifier system is employed as the main sorting engine, with a genetic ulgorithm in plac...

This paper proposes NeurAge, an agent-based multi-classifier system for classification tasks. This system is composed of several neural classifiers (called neural agents) and its main aim is to overcome some drawbacks of multi-classifier systems and, as a consequence, to improve performance of such systems.

In this report we implement a machine comprehension system, and train and test it on the MCTest dataset (Richardson et al., 2013). We treat it as a classification problem. We use baseline features and syntactic features to compute the score for each candidate answers. We also used a set of NLP techniques, including word embedding, coreference resolution and lemmatization to improve the performa...

Elias Kalapanidas and Nikolaos Avouris* University of Patras Electrical and Computer Engineering Department GR-265 00 Rio Patras, Greece email: {ekalap , N.Avouris } @ ee.upatras.gr * Corresponding Author Abstract In the frame of air quality monitoring of urban areas, the task of short-term prediction of key-pollutants concentrations is a daily activity of major importance. Automation of this p...

Surface dust can be a source carrier of viruses, bacteria and air pollution which entail common health issues such as asthma attacks, chest tightness, wheezing difficulty in breathing. Visually perceived, cleanliness is one measure indoor quality the subjective assessment cleaning quality. The aim this work to use pattern recognition mediated through mobile application analyse classify househol...

Nowadays, the automated text classification has witnessed special importance due to the increasing availability of documents in digital form and ensuing need to organize them. Although this problem is in the Information Retrieval (IR) field, the dominant approach is based on machine learning techniques. Approaches based on classifier committees have shown a better performance than the others. I...

This paper is concerned with the development of a novel classifier for automatic mass detection of mammograms, based on contourlet feature extraction in conjunction with statistical and fuzzy classifiers. In this method, mammograms are segmented into regions of interest (ROI) in order to extract features including geometrical and contourlet coefficients. The extracted features benefit from...