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» The Learning Power of Evolution
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MLG
2007
Springer
15 years 3 months 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 3 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 2 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 2 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 2 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