Abstract Interpretation of QSAR models is useful to understand the complex nature biological or physicochemical processes, guide structural optimization perform knowledge-based validation models. Highly predictive are usually and their interpretation non-trivial. This particularly true for modern neural networks. Various approaches these exist. However, it difficult evaluate compare performance...

A key challenge in example-based program synthesis is the gigantic search space of programs. To address this challenge, various work proposed to use abstract interpretation prune space. However, most existing approaches have focused only on forward interpretation, and thus cannot fully exploit power interpretation. In paper, we propose a novel approach inductive via iterative forward-backward T...

results total prevalence's of subjects with wrist-hand, shoulder-arm, neck back and lower limb disorders were obtained 556 (82.6%), 352 (52.3%), 238 (35.4%), 454 (67.5%), and 149 (22.1%) respectively (p = 0.028). the highest cumulative risk was corresponded to wrist-hand, and after that were cumulative risks of back, shoulder-arm, neck, and lower limb respectively. objectives this study was con...

The paper addresses the problem of on-line monitoring and diagnosis of multi-robot systems. These tasks are performed by a Diagnostic Module whose high-level architecture is introduced: the on-line monitoring exploits a model of the system (robots + environment) based on automata. An assessment of the system status is performed during the monitoring phase, while a high-level interpretation of t...

The paper considers both knowledge acquisition and knowledge interpretation tasks as tightly connected and continuously interacting processes in a contemporary knowledge engineering system. Fuzzy rules are used here as a framework for knowledge representation. An algorithm REFuNN for fuzzy rules extraction from adaptive fuzzy neural networks (FuNN) is proposed. A case study of Iris classificati...

Because of the increasing amount of remotely sensed imagery there is a growing need for efficient data analysis techniques. Here to automate the image interpretation a knowledge based approach is suggested. The presented scene interpretation system AIDA uses semantic nets for the explicit representation of the prior knowledge about objects expected in the scene. It exploits the knowledge base t...

The interpretation of the reaction time difference between positive and negative responses in two-choice matching tasks has been the subject of recent controversy. Proctor and his colleagues hold that the difference represents a difference in processing between same and different judgments, whereas Ratcliff and Hacker argued that the difference can be accounted for in terms of criteria settings...

Information processing biases, such as interpretation bias and attention bias, play a significant role in social anxiety disorder (Williams et al., 1997). Interpretation bias refers to the tendency to interpret both negative and neutral stimuli as more negative than they are objectively. Attention bias refers to the tendency to attend preferentially to threatening stimuli. Socially anxious indi...

understanding allegories, helps us to give a clear and accepted interpretation of complex and complicated thoughts, and this is said to be a cultural need. the purpose of this research is to find and recognize the allegories used by meibodi in his mystic interpretation of kashf-ol-asraar. the results of the study show that different kinds of allegories are used in this interpretation; and this ...