منابع مشابه
Lessons Learned from Benchmarking in the Automated Planning Community
Automated planning is a classical area of artificial intelligence research that is concerned with the problem of planning a course of action for an agent (or set of agents) acting in a complex environment. In the frequently studied case of classical planning, e. g. in the propositional STRIPS formalism [1], the problem is that of finding a sequence of actions that achieves the goal of a single ...
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Music Information Retrieval may be perceived as part of the larger Multimedia Information Retrieval research area. However, many researchers in Music Information Retrieval are unaware that the problems they deal with have analogous problems in image and video retrieval. Many issues concerning the creation of testbed digital libraries and effective benchmarking of information retrieval systems a...
متن کاملBenchmarking Digital Video : Measurements , Analysis , Improvements and Lessons Learned
Digital video applications can often push a computer's resources to their limit. They require massive amounts of storage, high IO transfer rates, and fast display refresh times. And if software is involved in the decompression process, the CPU will often end up over-utilized. Resource demands have a direct eeect on the quality of the delivered video; this results in a complex \load-balancing" p...
متن کاملCompetitive Benchmarking: Lessons Learned from the Trading Agent Competition
stimulated by well-designed competitions that tackle intriguing and often very complex problems. Chess, poker, stock trading, real-time strategy games, robot soccer, robot rescue or planning, and autonomous vehicles are among the most well known. Adaptability, proactiveness, and interoperability are essential characteristics of these games. Many of these competitions focus on development of rat...
متن کاملLessons learned in benchmarking — Floating point benchmarks: can you trust them?
Benchmarks are important tools for understanding the implication of design choices for systems, and for studying increasingly complex hardware architectures and software systems. One of the assumptions for benchmarking within systems research seems to be that the execution time of floating point operations do not change much with different input values. We report on a problem where a textbook b...
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ژورنال
عنوان ژورنال: Proceedings of the VLDB Endowment
سال: 2020
ISSN: 2150-8097
DOI: 10.14778/3421424.3421425