1015 search results - page 105 / 203 » Kernels for Multi--task Learning |
NIPS
2007
13 years 9 months ago
2007
Hierarchical penalization is a generic framework for incorporating prior information in the fitting of statistical models, when the explicative variables are organized in a hiera...
JIIS
2006
13 years 7 months ago
2006
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
SIGCSE
2012
ACM
12 years 3 months ago
2012
ACM
The computing landscape is shifting towards mobile devices. To learn about operating systems, it is increasingly important for students to gain hands-on kernel programming experie...
ICANN
2001
Springer
14 years 10 days ago
2001
Springer
Kernel-based systems are currently very popular approaches to supervised learning. Unfortunately, the computational load for training kernel-based systems increases drastically wit...
NIPS
2001
13 years 9 months ago
2001
This article presents a Support Vector Machine (SVM) like learning system to handle multi-label problems. Such problems are usually decomposed into many two-class problems but the...