254 search results - page 3 / 51 » Learning with Consistency between Inductive Functions and Ke... |
ECML
2000
Springer
13 years 9 months ago
2000
Springer
In the present paper we propose a consistent way to integrate syntactical least general generalizations (lgg's) with semantic evaluation of the hypotheses. For this purpose we...
BMCBI
2008
13 years 5 months ago
2008
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
CIE
2007
Springer
13 years 11 months ago
2007
Springer
In the standard model of inductive inference, a learner gets as input the graph of a function, and has to discover (in the limit) a program for the function. In this paper, we cons...
ECML
2004
Springer
13 years 9 months ago
2004
Springer
The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong e...
JMLR
2012
11 years 7 months ago
2012
This paper presents new and effective algorithms for learning kernels. In particular, as shown by our empirical results, these algorithms consistently outperform the so-called uni...