137 search results - page 21 / 28 » A Direct Method for Building Sparse Kernel Learning Algorith... |
CIMAGING
2009
13 years 8 months ago
2009
Space-varying convolution often arises in the modeling or restoration of images captured by optical imaging systems. For example, in applications such as microscopy or photography...
ACL
1998
13 years 8 months ago
1998
For the task of recognizing dialogue acts, we are applying the Transformation-Based Learning (TBL) machine learning algorithm. To circumvent a sparse data problem, we extract valu...
TNN
2010
13 years 2 months ago
2010
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
SBRN
2008
IEEE
14 years 1 months ago
2008
IEEE
In automated multi-label text categorization, an automatic categorization system should output a category set, whose size is unknown a priori, for each document under analysis. Ma...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...