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ITS
2010
Springer
157views Multimedia» more  ITS 2010»
15 years 12 months ago
A Computational Model of Accelerated Future Learning through Feature Recognition
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
Nan Li, William W. Cohen, Kenneth R. Koedinger
IUI
2000
ACM
15 years 11 months ago
Learning users' interests by unobtrusively observing their normal behavior
For intelligent interfaces attempting to learn a user’s interests, the cost of obtaining labeled training instances is prohibitive because the user must directly label each trai...
Jeremy Goecks, Jude W. Shavlik
ECAL
1999
Springer
15 years 11 months ago
A Generic Neutral Model for Quantitative Comparison of Genotypic Evolutionary Activity
We use a new general-purpose model of neutral evolution of genotypes to make quantitative comparisons of diversity and adaptive evolutionary activity as a function of mutation rate...
Andreas Rechtsteiner, Mark A. Bedau
193
Voted
DAC
1997
ACM
15 years 11 months ago
Toward Formalizing a Validation Methodology Using Simulation Coverage
The biggest obstacle in the formal verification of large designs is their very large state spaces, which cannot be handled even by techniques such as implicit state space travers...
Aarti Gupta, Sharad Malik, Pranav Ashar
SIGGRAPH
2010
ACM
15 years 11 months ago
Manifold bootstrapping for SVBRDF capture
Manifold bootstrapping is a new method for data-driven modeling of real-world, spatially-varying reflectance, based on the idea that reflectance over a given material sample forms...
Yue Dong, Jiaping Wang, Xin Tong, John Snyder, Yan...