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» The structure of intrinsic complexity of learning
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ISBI
2006
IEEE
14 years 8 months ago
Use of 3-D cortical morphometry for mapping increased cortical gyrification and complexity in Williams syndrome
In this paper, we describe the use of three different shape measures -- i.e., shape index, curvedness, and L2 norm of mean curvature -- to quantify cortical gyrification and compl...
Duygu Tosun, Allan L. Reiss, Agatha D. Lee, Rebecc...
IEAAIE
2010
Springer
13 years 5 months ago
S.cerevisiae Complex Function Prediction with Modular Multi-Relational Framework
Gene functions is an essential knowledge for understanding how metabolism works and designing treatments for solving malfunctions. The Modular Multi-Relational Framework (MMRF) is ...
Beatriz García Jiménez, Agapito Lede...
TIT
2010
122views Education» more  TIT 2010»
13 years 2 months ago
Biological information as set-based complexity
The significant and meaningful fraction of all the potential information residing in the molecules and structures of living systems is unknown. Sets of random molecular sequences o...
David J. Galas, Matti Nykter, Gregory W. Carter, N...
ICML
2005
IEEE
14 years 8 months ago
Clustering through ranking on manifolds
Clustering aims to find useful hidden structures in data. In this paper we present a new clustering algorithm that builds upon the consistency method (Zhou, et.al., 2003), a semi-...
Markus Breitenbach, Gregory Z. Grudic
PAAMS
2010
Springer
13 years 5 months ago
Variable Length-Based Genetic Representation to Automatically Evolve Wrappers
The Web has been the star service on the Internet, however the outsized information available and its decentralized nature has originated an intrinsic difficulty to locate, extract...
David F. Barrero, Antonio González-Pardo, M...