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» Learning executable agent behaviors from observation
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SIGECOM
2010
ACM
149views ECommerce» more  SIGECOM 2010»
15 years 9 months ago
A new understanding of prediction markets via no-regret learning
We explore the striking mathematical connections that exist between market scoring rules, cost function based prediction markets, and no-regret learning. We first show that any c...
Yiling Chen, Jennifer Wortman Vaughan
ESANN
2007
15 years 5 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
COMSWARE
2007
IEEE
15 years 10 months ago
Situation-Aware Software Engineering for Sensor Networks
—Sensor networks represent a new frontier in technology that holds the promise of unprecedented levels of autonomy in the execution of complex dynamic missions by harnessing the ...
Vir V. Phoha, Shashi Phoha
ECOOP
2006
Springer
15 years 7 months ago
Augmenting Automatically Generated Unit-Test Suites with Regression Oracle Checking
A test case consists of two parts: a test input to exercise the program under test and a test oracle to check the correctness of the test execution. A test oracle is often in the f...
Tao Xie
VEE
2012
ACM
239views Virtualization» more  VEE 2012»
13 years 11 months ago
Transparent dynamic instrumentation
Process virtualization provides a virtual execution environment within which an unmodified application can be monitored and controlled while it executes. The provided layer of co...
Derek Bruening, Qin Zhao, Saman P. Amarasinghe