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» On Learning from Exercises
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103
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ACMMSP
2006
ACM
260views Hardware» more  ACMMSP 2006»
15 years 3 months ago
Seven at one stroke: results from a cache-oblivious paradigm for scalable matrix algorithms
A blossoming paradigm for block-recursive matrix algorithms is presented that, at once, attains excellent performance measured by • time, • TLB misses, • L1 misses, • L2 m...
Michael D. Adams, David S. Wise
AIIDE
2006
14 years 11 months ago
The NERO Video Game
In most modern video games, character behavior is scripted; no matter how many times the player exploits a weakness, that weakness is never repaired. Yet if game characters could ...
Kenneth O. Stanley, Igor Karpov, Risto Miikkulaine...
65
Voted
COLT
2008
Springer
14 years 11 months ago
Learning from Collective Behavior
Inspired by longstanding lines of research in sociology and related fields, and by more recent largepopulation human subject experiments on the Internet and the Web, we initiate a...
Michael Kearns, Jennifer Wortman
UM
2009
Springer
15 years 4 months ago
Just-in-Time Adaptivity through Dynamic Items
Adaptive course generation becomes more appropriate for realistic usage scenarios and more flexible if it includes mechanisms deciding just-in-time which content, which exercises,...
Carsten Ullrich, Tianxiang Lu, Erica Melis
ISM
2006
IEEE
113views Multimedia» more  ISM 2006»
15 years 3 months ago
Individualization and Flexibility through Computer Algebra Systems in Virtual Laboratories
Virtual labs enable field specific experiments and open them for collaborative and distributed usage. In order to realize comprehensive laboratory set-ups providing a scientifi...
Sabina Jeschke, Thomas Richter