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» Learning from examples to improve code completion systems
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CHI
2009
ACM
14 years 8 months ago
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Context-aware intelligent systems employ implicit inputs, and make decisions based on complex rules and machine learning models that are rarely clear to users. Such lack of system...
Brian Y. Lim, Anind K. Dey, Daniel Avrahami
BLISS
2008
IEEE
14 years 2 months ago
Effecting an Improvement to the Fitness Function. How to Evolve a More Identifiable Face
Constructing the face of a criminal from the selection of individual facial parts is a hard task. We have been working on a new system called EvoFIT that involves the selection an...
Charlie D. Frowd, Joanne Park, Alex H. McIntyre, V...
ASPLOS
2012
ACM
12 years 3 months ago
Chameleon: operating system support for dynamic processors
The rise of multi-core processors has shifted performance efforts towards parallel programs. However, single-threaded code, whether from legacy programs or ones difficult to para...
Sankaralingam Panneerselvam, Michael M. Swift
CVPR
2012
IEEE
11 years 10 months ago
Icon scanning: Towards next generation QR codes
Undoubtedly, a key feature in the popularity of smartmobile devices is the numerous applications one can install. Frequently, we learn about an application we desire by seeing it ...
Itamar Friedman, Lihi Zelnik-Manor
IFIP
1994
Springer
13 years 11 months ago
From AI Technology Research to Applications
Focusing on examples of knowledge systems and machine learning, this paper illustrates the transfer of AI technology from science to real-world applications. Decades of AI researc...
Armin B. Cremers, Sebastian Thrun, Wolfram Burgard