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NIPS
2008
13 years 9 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
SC
2005
ACM
14 years 1 months ago
PerfExplorer: A Performance Data Mining Framework For Large-Scale Parallel Computing
Parallel applications running on high-end computer systems manifest a complexity of performance phenomena. Tools to observe parallel performance attempt to capture these phenomena...
Kevin A. Huck, Allen D. Malony
BMCBI
2010
149views more  BMCBI 2010»
13 years 8 months ago
A multifactorial analysis of obesity as CVD risk factor: Use of neural network based methods in a nutrigenetics context
Background: Obesity is a multifactorial trait, which comprises an independent risk factor for cardiovascular disease (CVD). The aim of the current work is to study the complex eti...
Ioannis K. Valavanis, Stavroula G. Mougiakakou, Ke...
DATE
2009
IEEE
125views Hardware» more  DATE 2009»
14 years 2 months ago
On linewidth-based yield analysis for nanometer lithography
— Lithographic variability and its impact on printability is a major concern in today’s semiconductor manufacturing process. To address sub-wavelength printability, a number of...
Aswin Sreedhar, Sandip Kundu
GISCIENCE
2004
Springer
130views GIS» more  GISCIENCE 2004»
14 years 1 months ago
Comparing Exact and Approximate Spatial Auto-regression Model Solutions for Spatial Data Analysis
The spatial auto-regression (SAR) model is a popular spatial data analysis technique, which has been used in many applications with geo-spatial datasets. However, exact solutions f...
Baris M. Kazar, Shashi Shekhar, David J. Lilja, Ra...