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» Guiding Agent Learning in Design
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KDD
2009
ACM
167views Data Mining» more  KDD 2009»
14 years 8 months ago
Seven pitfalls to avoid when running controlled experiments on the web
Controlled experiments, also called randomized experiments and A/B tests, have had a profound influence on multiple fields, including medicine, agriculture, manufacturing, and adv...
Thomas Crook, Brian Frasca, Ron Kohavi, Roger Long...
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
11 years 10 months ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
SIGMETRICS
2008
ACM
13 years 7 months ago
Ironmodel: robust performance models in the wild
Traditional performance models are too brittle to be relied on for continuous capacity planning and performance debugging in many computer systems. Simply put, a brittle model is ...
Eno Thereska, Gregory R. Ganger
CORR
2007
Springer
170views Education» more  CORR 2007»
13 years 7 months ago
Animation of virtual mannequins, robot-like simulation or motion captures
— In order to optimize the costs and time of design of the new products while improving their quality, concurrent engineering is based on the digital model of these products, the...
Damien Chablat
ICRA
2007
IEEE
117views Robotics» more  ICRA 2007»
14 years 2 months ago
Techniques and Applications for Persistent Backgrounding in a Humanoid Torso Robot
— One of the most basic capabilities for an agent with a vision system is to recognize its own surroundings. Yet surprisingly, despite the ease of doing so, many robots store lit...
David Walker Duhon, Jerod J. Weinman, Erik G. Lear...