75 search results - page 6 / 15 » Feature Lattices for Maximum Entropy Modelling |
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
This paper deals with the reconstruction of T1-T2 correlation spectra in Nuclear Magnetic Resonance (NMR) spectroscopy. The ill-posed character of this inverse problem and its lar...
JMLR
2011
13 years 1 months ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
ICTAI
2007
IEEE
14 years 1 months ago
2007
IEEE
The classification of graph based objects is an important challenge from a knowledge discovery standpoint and has attracted considerable attention recently. In this paper, we pres...
TCBB
2010
13 years 5 months ago
2010
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
CIKM
2005
Springer
14 years 7 days ago
2005
Springer
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...