Context trees are a popular and effective tool for tasks such as compression, sequential prediction, and language modeling. We present an algebraic perspective of context trees for...
Harald Ganzinger, Robert Nieuwenhuis, Pilar Nivela
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
The design of virtual workplaces that can support virtual work processes has traditionally been either ad-hoc, or has been influenced by the top-down approaches, such as ‘virtua...
The accurate prediction of program's memory requirements is a critical component in software development. Existing heap space analyses either do not take deallocation into ac...