A variety of heterogenous data sources is available in the field of molecular biology. Our focus lies on the biological sequence data, i. e. data maintained in collections like EM...
Archived biomedical literature and sequence data are growing rapidly. The Open Archives Initiative's Protocol for Metadata Harvesting (OAI-PMH) [1] provides a convenient way ...
Analysis of biological data often involves large data sets and computationally expensive algorithms. Databases of biological data continue to grow, leading to an increasing demand ...
Virtually all methods of learning dynamic systems from data start from the same basic assumption: that the learning algorithm will be provided with a sequence, or trajectory, of d...
This paper explores the use of the homotopy method for training a semi-supervised Hidden Markov Model (HMM) used for sequence labeling. We provide a novel polynomial-time algorith...