4466 search results - page 22 / 894 » Large-Scale Data Analysis Using Heuristic Methods |
85
Voted
SIGIR
2006
ACM
15 years 3 months ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
LREC
2008
14 years 11 months ago
2008
Recent years have seen increased interest within the speaker recognition community in high-level features including, for example, lexical choice, idiomatic expressions or syntacti...
BMCBI
2010
14 years 9 months ago
2010
Background: Efficient dissection of large proteins into their structural domains is critical for high throughput proteome analysis. So far, no study has focused on mathematically ...
93
Voted
CORR
2008
Springer
14 years 9 months ago
2008
Springer
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
ICCS
2004
Springer
15 years 2 months ago
2004
Springer
We consider a kernel-based approach to nonlinear classification that coordinates the generation of “synthetic” points (to be used in the kernel) with “chunking” (working wi...