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GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 9 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
128
Voted
USAB
2007
15 years 5 months ago
Competence Assessment for Spinal Anaesthesia
The authors describe a new approach towards assessing skills of medical trainees. Based on experiences from previous projects with (i) applying virtual environments for medical tra...
Dietrich Albert, Cord Hockemeyer, Zsuzsanna Kulcs&...
ML
2006
ACM
110views Machine Learning» more  ML 2006»
15 years 4 months ago
Distribution-based aggregation for relational learning with identifier attributes
Abstract Identifier attributes--very high-dimensional categorical attributes such as particular product ids or people's names--rarely are incorporated in statistical modeling....
Claudia Perlich, Foster J. Provost
GLVLSI
2005
IEEE
133views VLSI» more  GLVLSI 2005»
15 years 10 months ago
Generating decision regions in analog measurement spaces
We develop a neural network that learns to separate the nominal from the faulty instances of a circuit in a measurement space. We demonstrate that the required separation boundari...
Haralampos-G. D. Stratigopoulos, Yiorgos Makris
124
Voted
KBSE
2009
IEEE
15 years 11 months ago
Code Completion from Abbreviated Input
—Abbreviation Completion is a novel technique to improve the efficiency of code-writing by supporting code completion of multiple keywords based on non-predefined abbreviated inp...
Sangmok Han, David R. Wallace, Robert C. Miller