166 search results - page 26 / 34 » Efficient Model Selection for Kernel Logistic Regression |
NN
2000
Springer
14 years 10 months ago
2000
Springer
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
QRE
2008
14 years 10 months ago
2008
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
SIGIR
2008
ACM
14 years 11 months ago
2008
ACM
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
ICML
2004
IEEE
15 years 11 months ago
2004
IEEE
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
98
Voted
ICIP
2006
IEEE
16 years 19 days ago
2006
IEEE
Although more efficient in computation compared to other tracking approaches such as particle filtering, the kernel-based tracking suffers from the "singularity" problem...