1015 search results - page 105 / 203 » Kernels for Multi--task Learning |
92
Voted
NIPS
2007
15 years 3 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...
124
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JIIS
2006
15 years 2 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...
143
Voted
SIGCSE
2012
ACM
13 years 10 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...
120
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ICANN
2001
Springer
15 years 7 months 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...
100
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NIPS
2001
15 years 3 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...