28 search results - page 3 / 6 » Linearization of F-I Curves by Adaptation |
CSDA
2007
13 years 5 months ago
2007
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...
VLDB
1999
ACM
13 years 10 months ago
1999
ACM
This paper aims to improve the accuracy of query result-size estimations in query optimizers by leveraging the dynamic feedback obtained from observations on the executed query wo...
IPPS
1999
IEEE
13 years 10 months ago
1999
IEEE
Abstract. In this paper, we present self-avoiding walks as a novel technique to linearize" a triangular mesh. Unlike space- lling curves which are based on a geometric embeddi...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
BMCBI
2006
13 years 5 months ago
2006
Background: Nonlinear regression, like linear regression, assumes that the scatter of data around the ideal curve follows a Gaussian or normal distribution. This assumption leads ...