Our goal is to explore methods for combining structured but incomplete information from dictionaries with the unstructured but more complete information available in corpora for t...
Fuzzy pattern tree induction was recently introduced as a novel machine learning method for classification. Roughly speaking, a pattern tree is a hierarchical, tree-like structur...
Generic classes can be used to improve performance by allowing compile-time polymorphism. But the applicability of compile-time polymorphism is narrower than that of runtime polym...
Dan Tsafrir, Robert W. Wisniewski, David F. Bacon,...
A composite loss assigns a penalty to a realvalued prediction by associating the prediction with a probability via a link function then applying a class probability estimation (CP...
Abstract. We present F(Eml), a language that combines classes, extensible functions, symmetric multiple dispatching, and a practical system for parameterized modules. Parameterized...