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» The Learning Power of Evolution
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MLG
2007
Springer
16 years 1 days ago
Weighted Substructure Mining for Image Analysis
1 In web-related applications of image categorization, it is desirable to derive an interpretable classification rule with high accuracy. Using the bag-of-words representation and...
Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku K...
SIGUCCS
2003
ACM
15 years 11 months ago
Macintosh OS X: a smooth migration
The Ringling School of Art and Design is a fully accredited four year college of visual art and design with a student population of approximately 1000. The Ringling School has ach...
Scott E. Hanselman, Mahmoud Pegah
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 10 months ago
Investigating whether hyperNEAT produces modular neural networks
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
GECCO
2009
Springer
15 years 10 months ago
The sensitivity of HyperNEAT to different geometric representations of a problem
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Jeff Clune, Charles Ofria, Robert T. Pennock
EUROCRYPT
2001
Springer
15 years 10 months ago
On Perfect and Adaptive Security in Exposure-Resilient Cryptography
Abstract. We consider the question of adaptive security for two related cryptographic primitives: all-or-nothing transforms and exposureresilient functions. Both are concerned with...
Yevgeniy Dodis, Amit Sahai, Adam Smith