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With rapid development of mobile communications services and handheld devices, it led to explosive growth in mobile applications (App). Related works also indicated that game Apps have become the biggest source of revenue compared to other kinds of Apps. Recent surveys have found that the mobile games industry will account for ever increasing contributions, with a market share approaching 35% by 2020...
In tag-word disambiguation, a word is assigned to a specific context chosen among the different ones to which it is related. Relatedness to a context is often defined based on the co-occurrence of the target word with other words (context words) in sentences of a specific corpus. The overall disambiguation process can be thought as a classification process, where the context words play the role of...
In game market, mobile applications (App) will reach to 20% revenue. Related researchers also pointed out that game Apps are the largest source of revenue compared to other Apps. In order to attract more customers to use, App developers made a number of ways, for example, free or trial Apps, prepayment which can obtain more services, providing complete free App but customers need to do in-App purchases...
In remote health monitoring of patient's physical activity, ensuring correctness and authenticity of the received data is essential. Although many activity monitoring systems, devices and techniques have been developed, preventing patient cheating of an activity monitor has been a primarily unaddressed challenge across the board. Patients can manually shake an activity monitor device (sensor) with...
This paper investigates the utilization of game theory models for automated analysis of hyperspectral imagery. The author proposes three approaches to using strategic, competitive game theory models for groundcover classification using hyperspectral imagery, including the application of game theory models to (i) hyperspectral band grouping and (ii) pixel classification in a classifier ensemble system...
The following topics are dealt with: AI in databases and data mining; vision processing/understanding; feature selection; trends in SAT and CSP; AI in robotics; constraint programming; knowledge-based systems; case-based reasoning; intelligent Internet agents; speech/language processing and understanding; evolutionary computing; AI in games; planning and scheduling; AI algorithms; AI in software engineering...
Feature selection is an important processing step in machine learning. Most used feature selection methods choose top-ranking features without considering the relationships among features. In this paper, the signification of feature selection is introduced, and the goal and evaluation criteria of feature selection are analyzed. The coalitional game theory related to the feature selection is explained...
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