Different from the “black-box” evaluation, the diagnostic evaluation aims to provide a better explanatory power into various aspects of the performance of artificial intelligence systems. However, for machine translation (MT) systems, due to its complexity and knowledge dependency, such diagnostic evaluation often demands a large amount of manual work. To tackle this problem, we propose an auto...

The thallium diagnostic workstation (TDW) is an integrated workstation for the learning and application of diagnostic rules for thallium heart imagery. TDW learns diagnostic rules from training sets of images, using a symbolic induction algorithm developed specifically for this application. TDW uses machine vision to identify image features of diagnostic significance (findings), which are descr...

The energy and resources saving has become a major task of petrochemical enterprises, it is necessary to construct the diagnostic system for understanding real-time operation information plant provide theoretical basis taking measures. diagnosis process based on twin Curvelet support vector machine optimized by hybrid glowworm swarm algorithm designed. kernel function constructed transform esta...

Accurate diagnostic detection of the cancerous cells in a patient is critical and may alter the subsequent treatment and increase the chances of survival rate. Machine learning techniques have been instrumental in disease detection and are currently being used in various classification problems due to their accurate prediction performance. Various techniques may provide different desired accura...

The paper presents the module of interactive word sense disambiguation and syntactic ambiguity resolution used within a machine translation system, ETAP-3. The method applied consists in asking the user to identify a word sense, or a syntactic interpretation, whenever the system lacks reliable data to make the choice automatically. In lexical disambiguation, part of man-machine dialogue refers ...

merging Brain-Machine-Brain Interfaces (BMBIs) are promising alternative to study the neural activity underlying cognitive functions and pathologies, detecting mind driven decisions, etc. A BMBI covers many engineering and medical science disciplines. It includes biomedical circuits and systems, biosensor interfaces and devices, biosignal and bioimage processing, and bioinformatics, bioelectron...

Diagnostic evaluation is an important instrument for the development of high quality spoken language dialogue systems. Yet no rigorous methodology exists for the systematic and exhaustive diagnostic evaluation of all aspects of spoken language interaction: recognition, synthesis, grammar , vocabulary, dialogue etc. The paper addresses part of this problem by presenting a methodology for the dia...

Abstract In the machine operating process, there are certain interactions between its operational use and wear. The current wear is increased by intensity of use, usable potential reduced rate. diagnostic inference static characteristics trajectories state from experiment compared with different matrices determined for various assumed configurations changes. As a result, approximated diagnosis ...