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» Problems of learning in multi-agent systems
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HICSS
2005
IEEE
95views Biometrics» more  HICSS 2005»
15 years 3 months ago
Understanding the Effect of Risk Aversion on Risk
As we progress, society must intelligently address the following question: How much risk is acceptable? How we answer this question could have important consequences for the futur...
U. S. Bhatt, David E. Newman, Benjamin A. Carreras...
ATAL
2003
Springer
15 years 3 months ago
Team formation and communication restrictions in collectives
A collective of agents often needs to maximize a “world utility” function which rates the performance of an entire system, while subject to communication restrictions among th...
Adrian K. Agogino, Kagan Tumer
AAAI
2008
15 years 9 days ago
A Fast Data Collection and Augmentation Procedure for Object Recognition
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng
SIGSOFT
2005
ACM
15 years 10 months ago
Applying classification techniques to remotely-collected program execution data
There is an increasing interest in techniques that support measurement and analysis of fielded software systems. One of the main goals of these techniques is to better understand ...
Murali Haran, Alan F. Karr, Alessandro Orso, Adam ...
IEEEPACT
2009
IEEE
15 years 4 months ago
Using Aggressor Thread Information to Improve Shared Cache Management for CMPs
—Shared cache allocation policies play an important role in determining CMP performance. The simplest policy, LRU, allocates cache implicitly as a consequence of its replacement ...
Wanli Liu, Donald Yeung