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GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 11 months ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein
174
Voted
ICSE
2009
IEEE-ACM
15 years 11 months ago
Visual exploration of large-scale evolving software
The comprehensive understanding of today’s software systems is a daunting activity, because of the sheer size and complexity that such systems exhibit. Moreover, software system...
Richard Wettel
MIDDLEWARE
2009
Springer
15 years 11 months ago
How to Keep Your Head above Water While Detecting Errors
Today’s distributed systems need runtime error detection to catch errors arising from software bugs, hardware errors, or unexpected operating conditions. A prominent class of err...
Ignacio Laguna, Fahad A. Arshad, David M. Grothe, ...
MIG
2009
Springer
15 years 11 months ago
Data Driven Evaluation of Crowds
There are various techniques for simulating crowds, however, in most cases the quality of the simulation is measured by examining its “look-and-feel”. Even if the aggregate mov...
Alon Lerner, Yiorgos Chrysanthou, Ariel Shamir, Da...
WEBI
2009
Springer
15 years 11 months ago
Estimating Ad Clickthrough Rate through Query Intent Analysis
Clickthrough rate and cost-per-click are known to be among the factors that impact the rank of an ad shown on a search result page. Hence, search engines can benefit from estimat...
Azin Ashkan, Charles L. A. Clarke, Eugene Agichtei...