24 search results - page 2 / 5 » On the Impact of Kernel Approximation on Learning Accuracy |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
The problem of acoustic-to-articulatory speech inversion continues to be a challenging research problem which significantly impacts automatic speech recognition robustness and ac...
ICMLA
2009
13 years 3 months ago
2009
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
WCE
2007
13 years 7 months ago
2007
– In this paper we perform a t-test for significant gene expression analysis in different dimensions based on molecular profiles from microarray data, and compare several computa...
CORR
2002
Springer
13 years 5 months ago
2002
Springer
Research on bias in machine learning algorithms has generally been concerned with the impact of bias on predictive accuracy. We believe that there are other factors that should al...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
The core vector machine (CVM) is a recent approach for scaling up kernel methods based on the notion of minimum enclosing ball (MEB). Though conceptually simple, an efficient impl...