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ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
14 years 13 days ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
JUCS
2006
141views more  JUCS 2006»
13 years 5 months ago
Constraint Based Methods for Biological Sequence Analysis
: The need for processing biological information is rapidly growing, owing to the masses of new information in digital form being produced at this time. Old methodologies for proce...
Maryam Bavarian, Verónica Dahl
BMCBI
2011
12 years 9 months ago
A Beta-Mixture Model for Dimensionality Reduction, Sample Classification and Analysis
Background: Patterns of genome-wide methylation vary between tissue types. For example, cancer tissue shows markedly different patterns from those of normal tissue. In this paper ...
Kirsti Laurila, Bodil Oster, Claus L. Andersen, Ph...
BMCBI
2010
94views more  BMCBI 2010»
13 years 5 months ago
Comparison study of microarray meta-analysis methods
Background: Meta-analysis methods exist for combining multiple microarray datasets. However, there are a wide range of issues associated with microarray meta-analysis and a limite...
Anna Campain, Yee Hwa Yang
BMCBI
2005
108views more  BMCBI 2005»
13 years 5 months ago
A linear memory algorithm for Baum-Welch training
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
István Miklós, Irmtraud M. Meyer