منابع مشابه
Combat Outcome Prediction for RTS Games
Marius Stanescu, Nicolas A. Barriga and Michael Buro [1 leave this spacer to make page count accurate] [2 leave this spacer to make page count accurate] [3 leave this spacer to make page count accurate] [4 leave this spacer to make page count accurate] [5 leave this spacer to make page count accurate] [6 leave this spacer to make page count accurate] [7 leave this spacer to make page count accu...
متن کاملThe subjective utility of early psychosocial interventions following combat deployment.
BACKGROUND Third Location Decompression (TLD) is the process through which personnel, returning from combat operations, begin to psychologically 'unwind'. Decompression comprises welfare activities, such as contacting home, beach events, social events, psycho-educational briefings and controlled re-introduction to alcohol. AIMS To assess the subjective utility of decompression by surveying al...
متن کاملThe potential utility of urinary biomarkers for risk prediction in combat casualties: a prospective observational cohort study
INTRODUCTION Traditional risk scoring prediction models for trauma use either anatomically based estimations of injury or presenting vital signs. Markers of organ dysfunction may provide additional prognostic capability to these models. The objective of this study was to evaluate if urinary biomarkers are associated with poor outcomes, including death and the need for renal replacement therapy....
متن کاملUsing Lanchester Attrition Laws for Combat Prediction in StarCraft
Smart decision making at the tactical level is important for Artificial Intelligence (AI) agents to perform well in the domain of real-time strategy (RTS) games. Winning battles is crucial in RTS games, and while ahumans can decide when and how to attack based on their experience, it is challenging for AI agents to estimate combat outcomes accurately. A few existing models address this problem ...
متن کاملFast Prediction of New Feature Utility
We study the new feature utility prediction problem: statistically testing whether adding a feature to the data representation can improve the accuracy of a current predictor. In many applications, identifying new features is the main pathway for improving performance. However, evaluating every potential feature by re-training the predictor can be costly. The paper describes an efficient, learn...
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ژورنال
عنوان ژورنال: Defence Technology
سال: 2016
ISSN: 2214-9147
DOI: 10.1016/j.dt.2016.10.002