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Skip to Search Results- 3Machine learning
- 2Software energy consumption
- 1Android
- 1App development
- 1Automatic software testing
- 1Bioinformatics
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2018
Chowdhury, S., Borle, S., Romansky, S., Hindle, Abram
Software energy consumption is a performance related non-functional requirement that complicates building software on mobile devices today. Energy hogging applications (apps) are a liability to both the end-user and software developer. Measuring software energy consumption is non-trivial,...
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Multi-Level Association Rule Mining: An Object-Oriented Approach based on Dynamic Hierarchies
Multi-Level Association Rule Mining: An Object-Oriented Approach based on Dynamic Hierarchies
Download1996
Liu, Ling, Geobel, Randy, Fortin, Scott
Technical report TR96-15. Previous studies in data mining have yielded efficient algorithms for discovering association rules. But it is well-known problem that the two controlling measures of support and confidence, when used as the sole definition of relevant association rules, are too...
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2003
Greiner, Russell, Wishart, David, Eisner, Roman, Lu, Z., Lu, Paul, Macdonell, Cam, Poulin, B., Szafron, Duane, Anvik, J.
Technical report TR03-14. Identifying the destination or localization of proteins is key to understanding their function and facilitating their purification. A number of existing computational prediction methods are based on sequence analysis. However, these methods are limited in scope, accuracy...
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What can Android mobile app developers do about the energy consumption of machine learning?
Download2018
McIntosh, A., Hassan, S., Hindle, Abram
Machine learning is a popular method of learning functions from data to represent and to classify sensor inputs, multimedia, emails, and calendar events. Smartphone applications have been integrating more and more intelligence in the form of machine learning. Machine learning functionality now...