This paper introduces a new form of observation distributions for hidden Markov models (HMMs), combining subvector quantization and mixtures of discrete distrib utions. Despite w...
Vassilios Digalakis, S. Tsakalidis, Costas Harizak...
To successfully apply evolutionary algorithms to the solution of increasingly complex problems, we must develop effective techniques for evolving solutions in the form of interact...
We present here a large family of concrete models for Girard and Reynolds polymorphism (System F), in a non categorical setting. The family generalizes the construction of the mod...
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...
We believe that design patterns can be an effective means of consolidating and communicating program construction expertise for functional programming, just as they have proven to...