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» Safe Exploration for Active Learning with Gaussian Processes
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CEC
2011
IEEE
13 years 10 months ago
Curiosity-driven optimization
— The principle of artificial curiosity directs active exploration towards the most informative or most interesting data. We show its usefulness for global black box optimizatio...
Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gom...
CDVE
2004
Springer
113views Visualization» more  CDVE 2004»
15 years 3 months ago
Fostering Creativity in Cooperative Design
Creativity has become a valuable asset, given the fast paced changes most companies must nowadays deal with. Companies now look for creative, highly adaptive individuals who can ex...
Adriana Santarosa Vivacqua, Jano Moreira de Souza
ITS
1998
Springer
213views Multimedia» more  ITS 1998»
15 years 2 months ago
Component-Based Construction of a Science Learning Space
We present a vision for learning environments, called Science Learning Spaces, that are rich in engaging content and activities, provide constructive experiences in scientific proc...
Kenneth R. Koedinger, Daniel D. Suthers, Kenneth D...
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
15 years 10 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
CTW
2006
112views more  CTW 2006»
14 years 10 months ago
Cross border railway operations: improving safety at cultural interfaces
Organizations with different cultures will be increasingly required to interface with each other as legislation is introduced to ensure the interoperability of railway systems acr...
S. O. Johnsen, J. Vatn, R. Rosness, I. A. Herrera