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TEC
2008
115views more  TEC 2008»
15 years 4 months ago
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction
An important strength of learning classifier systems (LCSs) lies in the combination of genetic optimization techniques with gradient-based approximation techniques. The chosen app...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
15 years 2 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
IEEEPACT
2009
IEEE
15 years 2 months ago
Region Based Structure Layout Optimization by Selective Data Copying
As the gap between processor and memory continues to grow, memory performance becomes a key performance bottleneck for many applications. Compilers therefore increasingly seek to m...
Sandya S. Mannarswamy, Ramaswamy Govindarajan, Ris...
CVPR
2006
IEEE
16 years 6 months ago
Modeling and Classifying Breast Tissue Density in Mammograms
We present a new approach to model and classify breast parenchymal tissue. Given a mammogram, first, we will discover the distribution of the different tissue densities in an unsu...
Anna Bosch, Arnau Oliver, Joan Martí, Xavie...
CVPR
2007
IEEE
16 years 6 months ago
Metropolis-Hasting techniques for finite-element-based registration
In this paper, we focus on the design of Markov Chain Monte Carlo techniques in a statistical registration framework based on finite element basis (FE). Due to the use of FE basis...
Adeline M. M. Samson, Frédéric J. P....