Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...
Every musician who improvises has a unique musical vocabulary, which may be perceived in his or her compositions. In this paper, we explain our design of a computational model tha...
Protein structure prediction is considered to be the holy grail of bioinformatics. Ab initio and homology modelling are two important groups of methods used in protein structure p...
The constraint paradigm provides powerful concepts to represent and solve different kinds of planning problems, e. g. factory scheduling. Factory scheduling is a demanding optimiz...
Architectural design decisions are commonly agreed as one of the main elements that constitute architectural knowledge. To avoid knowledge vaporization, architectural decisions an...