نتایج جستجو برای: paradise of wisdom
تعداد نتایج: 21165414 فیلتر نتایج به سال:
Detecting traffic events using the sensor network infrastructure is an important service in urban environments that enables the authorities to handle traffic incidents. However, irregular measurements in such settings can derive either from faulty sensors or from unpredictable events. In this paper, we propose an efficient solution to resolve in real-time the source of such irregular readings b...
The development of wisdom agriculture with agricultural found Chinese demand. The development of wisdom agriculture has the characteristics of integrity, functional and systematic. The article analyzes the main issues and influencing factors according to the current wisdom agriculture in China, such as the gap between domestic and abroad, wisdom, the wisdom agriculture rural development e-gover...
Wisdom represents a fruitful topic for psychological investigations for at least two reasons. First, the study of wisdom emphasizes the search for the continued optimization and the further cultural evolution of the human condition. Second, it exemplifies the collaboration of cognitive, emotional, and motivational processes. The growth and scope of psychological wisdom research over the past fe...
There has been a great deal of interest over the past 20 years in developing metrics and frameworks for evaluating and comparing the performance of spoken-language dialogue systems. One of the results of this interest is a potential general methodology, known as the PARADISE framework. This squib highlights some important issues concerning the application of PARADISE that have, up to now, not b...
The design of methods for performance evaluation is a major open research issue in the area of spoken language dialogue systems. This paper presents the PARADISE methodology for developing predictive models of spoken dialogue performance, and shows how to evaluate the predictive power and generalizability of such models. To illustrate the methodology, we develop a number of models for predictin...
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