Automatic text tagging is an important component in higher level analysis of text corpora, and its output can be used in many natural language processing applications. In language...
The automatic generation of drawings of metabolic pathways is a challenging problem that depends intimately on exactly what information has been recorded for each pathway, and on ...
We propose a learning algorithm for a variable memory length Markov process. Human communication, whether given as text, handwriting, or speech, has multi characteristic time scal...
Acronyms are widely used in many domains to abbreviate and stress important concepts. Due to its dynamicity and unbounded nature, manual attempts to compose a global scale reposito...
This paper proposes the Protein Ensemble Method (PEM) to model equilibrium fluctuations in proteins where fragments of the protein polypeptide chain can move independently of one ...