Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
Data-driven web applications are usually structured in three tiers with different programming models at each tier. This division forces developers to manually partition applicatio...
Fan Yang 0002, Nitin Gupta 0003, Nicholas Gerner, ...
This paper describes a type system that is capable of expressing and enforcing immutability constraints. The specific constraint exis that the abstract state of the object to whi...
Self-adjusting computation enables writing programs that can automatically and efficiently respond to changes to their data (e.g., inputs). The idea behind the approach is to stor...
We provide an overall description of the Ciao multiparadigm programming system emphasizing some of the novel aspects and motivations behind its design and implementation. An impor...
Manuel V. Hermenegildo, Francisco Bueno, Manuel Ca...