37 search results - page 7 / 8 » Mining sequential patterns for protein fold recognition |
KDD
2010
ACM
13 years 9 months ago
2010
ACM
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
PAMI
2006
13 years 5 months ago
2006
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
BMCBI
2005
13 years 5 months ago
2005
Background: Secondary structure is used in hierarchical classification of protein structures, identification of protein features, such as helix caps and loops, for fold recognitio...
BMCBI
2008
13 years 5 months ago
2008
Background: In recent years, the recognition of semantic types from the biomedical scientific literature has been focused on named entities like protein and gene names (PGNs) and ...
KDD
2004
ACM
13 years 11 months ago
2004
ACM
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...