religious texts have divided to texts of quran's verses and traditions of imams. some of the fundamentalists have diversity of opinions in mentioned comprehensible texts and they have proposed different theories in it. although dispute of this group of fundamentalists in religious texts is also minor premise and major but recent research is related to dispute of major. the intention of dis...

Topological information has proven very valuable in the analysis of scientific data. An important challenge that remains is presenting this highly abstract information in a way that it is comprehensible even if one does not have an in-depth background in topology. Furthermore, it is often desirable to combine the structural insight gained by topological analysis with complementary information, ...

AbstractImage color harmonization algorithm aims to automatically match the distribution of foreground and background images captured in different conditions. Previous deep learning based models neglect two issues that are critical for practical applications, namely high resolution (HR) image processing model comprehensibility. In this paper, we propose a novel Deep Comprehensible Color Filter ...

Patterns are a popular means to document design knowledge in different fields of application, including HCI. Accordingly, a large number of different HCI pattern formats have been suggested. However, relatively little is said about how to systematically identify such patterns. In order to make the process of identifying patterns more transparent and comprehensible, I apply a usability inspectio...

The Olga project has developed an animated agent interface for information services. The interface combines a graphical interface, spoken dialogue and an animated 3D ‘human-like’ character for multimodal input and output. The interaction is intelligently managed using techniques derived from spoken dialogue but extended for the graphical modality. The Olga agent is innovative in combining a spo...

A signiicant limitation of neural networks is that the representations they learn are usually incomprehensible to humans. We present a novel algorithm, Trepan, for extracting comprehensible, symbolic representations from trained neural networks. Our algorithm uses queries to induce a decision tree that approximates the concept represented by a given network. Our experiments demonstrate that Tre...

This paper describes a cost-effective fuzzy control system applied to a small spark-ignition internal-combustion engine to achieve regulation of the fuel injection system. It determines the amount of fuel required from a fuzzy algorithm using engine speed and manifold air pressure as input values. The fuzzy control parameters were a collection of comprehensible rules and fuzzy-set membership fu...

This paper describes an algorithm, called SEQUITUR, that identifies hierarchical structure in sequences of discrete symbols and uses that information for compression. On many practical sequences it performs well at both compression and structural inference, producing comprehensible descriptions of sequence structure in the form of grammar rules. The algorithm can be stated concisely in the form...

We present an approach for automatically generating relevant , focused questions to be asked during code inspection sessions. The method is based on Hoare-logic. The novel key idea is the introduction of informal predicates, which, though not having a formal definition , may have a perfectly legal and unique informal interpretation. Such predicates make it easier to express requirements in term...