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» Machine Learning Techniques to Make Computers Easier to Use
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CHI
2011
ACM
14 years 3 months ago
Target assistance for subtly balancing competitive play
In games where skills such as targeting are critical to winning, it is difficult for players with different skill levels to have a competitive and engaging experience. Although se...
Scott Bateman, Regan L. Mandryk, Tadeusz Stach, Ca...
ICCV
2009
IEEE
16 years 4 months ago
Efficient subset selection based on the Renyi entropy
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed t...
Vlad I. Morariu1, Balaji V. Srinivasan, Vikas C. R...
MIDDLEWARE
2009
Springer
15 years 6 months ago
A Cost-Sensitive Adaptation Engine for Server Consolidation of Multitier Applications
Abstract. Virtualization-based server consolidation is an important technique for cost and energy reductions in data center environments and a key enabler of cloud computing. Howev...
Gueyoung Jung, Kaustubh R. Joshi, Matti A. Hiltune...
PODC
2009
ACM
16 years 10 days ago
Load balancing without regret in the bulletin board model
We analyze the performance of protocols for load balancing in distributed systems based on no-regret algorithms from online learning theory. These protocols treat load balancing a...
Éva Tardos, Georgios Piliouras, Robert D. K...
CHI
2007
ACM
16 years 5 days ago
How it works: a field study of non-technical users interacting with an intelligent system
In order to develop intelligent systems that attain the trust of their users, it is important to understand how users perceive such systems and develop those perceptions over time...
Joe Tullio, Anind K. Dey, Jason Chalecki, James Fo...