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» Nonlinear functional regression: a functional RKHS approach
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BMCBI
2006
122views more  BMCBI 2006»
15 years 6 months ago
A multivariate prediction model for microarray cross-hybridization
Background: Expression microarray analysis is one of the most popular molecular diagnostic techniques in the post-genomic era. However, this technique faces the fundamental proble...
Yian A. Chen, Cheng-Chung Chou, Xinghua Lu, Elizab...
ICRA
2010
IEEE
135views Robotics» more  ICRA 2010»
15 years 4 months ago
Implicit nonlinear complementarity: A new approach to contact dynamics
— Contact dynamics are commonly formulated as a linear complementarity problem. While this approach is superior to earlier spring-damper models, it can be inaccurate due to pyram...
Emanuel Todorov
CSDA
2007
87views more  CSDA 2007»
15 years 6 months ago
Estimation and inference in functional mixed-effects models
Functional mixed-effects models are very useful in analyzing functional data. A general functional mixed-effects model that inherits the flexibility of linear mixed-effects model...
Anestis Antoniadis, Theofanis Sapatinas
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 9 months ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
ECCV
2008
Springer
15 years 8 months ago
Estimating Radiometric Response Functions from Image Noise Variance
We propose a method for estimating radiometric response functions from observation of image noise variance, not profile of its distribution. The relationship between radiance inten...
Jun Takamatsu, Yasuyuki Matsushita, Katsushi Ikeuc...