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Interdisciplinary Health and Performance Management of the Sliding Athlete: A Clinical Commentary. [PDF]
Int J Sports Phys TherFaltus J +7 more
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Enhancing kinase-inhibitor activity and selectivity prediction through contrastive learning. [PDF]
Nat CommunTian Y +12 more
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Experimental investigation of hydrogen production performance of PEM electrolyze. [PDF]
Sci RepAijun C +4 more
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Cold-start vs. warm-start miss ratios
Communications of the ACM, 1978In a two-level computer storage hierarchy, miss ratio measurements are often made from a “cold start”, that is, made with the first-level store initially empty. For large capacities the effect on the measured miss ratio of the misses incurred while filling the first-level store can be significant, even for long reference strings.
Easton, Malcolm C., Fagin, Ronald
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Cold Weather Starting Problems
SAE Technical Paper Series, 1974<div class="htmlview paragraph">A discussion of the cold weather starting problems confronting the fleet operator, this paper focuses on the importance of establishing proper vehicle specifications for the intended operating environment. Difficulties such as choosing performance level, knowing and describing operating conditions, determining ...
Douglas Andrew, Stephen A. Schuster
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2014 IEEE 17th International Conference on Computational Science and Engineering, 2014
Cold-Start is one of the most difficult problems faced by web companies today in the domain of recommendation system. Cold-Start problem refers to predicting the behavior of a new user/item having no history. Common algorithms used to predict users behavior fail at addressing the cold-start problem because the algorithms are based on the user history ...
Lebi Jean-Marc Dali, Qin Zhiguang
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Cold-Start is one of the most difficult problems faced by web companies today in the domain of recommendation system. Cold-Start problem refers to predicting the behavior of a new user/item having no history. Common algorithms used to predict users behavior fail at addressing the cold-start problem because the algorithms are based on the user history ...
Lebi Jean-Marc Dali, Qin Zhiguang
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Item cold-start recommendations
Proceedings of the 8th ACM Conference on Recommender systems, 2014Recommender systems suggest to users items that they might like (e.g., news articles, songs, movies) and, in doing so, they help users deal with information overload and enjoy a personalized experience. One of the main problems of these systems is the item cold-start, i.e., when a new item is introduced in the system and no past information is ...
Martin Saveski, Amin Mantrach
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Nursing Standard, 2008
Arriving from St Vincent to start her nurse training in 1958 was a culture shock for Shirla Philogene. But the shock was short lived.
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Arriving from St Vincent to start her nurse training in 1958 was a culture shock for Shirla Philogene. But the shock was short lived.
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Cold-Start Representation Learning
Proceedings of the 27th ACM International Conference on Multimedia, 2019Video relevance computation is one of the most important tasks for the personalized online streaming service. Given the relevance of videos and viewer feedbacks, the system can provide personalized recommendations, which helps viewers discover more contents of interest in most online services.
Xinran Zhang +3 more
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