Despite the computing power of emerging technologies, predicting long RNA secondary structures with thermodynamics-based methods is still infeasible, especially if the structures ...
Michela Taufer, Thamar Solorio, Abel Licon, David ...
Protein function is a dynamic property closely related to the conformational mechanisms of protein structure in its physiological environment. To understand and control the functi...
Perceptron training is widely applied in the natural language processing community for learning complex structured models. Like all structured prediction learning frameworks, the ...
We describe a compression technique for semistructured documents, called SCMPPM, which combines the Prediction by Partial Matching technique with Structural Contexts Model (SCM) t...
This paper examines several different approaches to exploiting structural information in semi-structured document categorization. The methods under consideration are designed for ...