262 search results - page 49 / 53 » An Improved Predictive Accuracy Bound for Averaging Classifi... |
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
KDD
2007
ACM
15 years 10 months ago
2007
ACM
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
MLDM
2007
Springer
15 years 4 months ago
2007
Springer
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
We propose a max-margin formulation for the multi-label classification problem where the goal is to tag a data point with a set of pre-specified labels. Given a set of L labels, a...
BMCBI
2006
2006
ZCURVE_V: a new self-training system for recognizing protein-coding genes in viral and phage genomes
14 years 10 months ago
Background: It necessary to use highly accurate and statistics-based systems for viral and phage genome annotations. The GeneMark systems for gene-finding in virus and phage genom...