: This is a position paper introducing blob computing: A Blob is a generic primitive used to structure a uniform computing substrate into an easier-to-program parallel virtual mach...
The development of natural language processing (NLP) components is resource-intensive and therefore justifies exploring ways of reducing development time and effort when building ...
Sonja E. Bosch, Laurette Pretorius, Kholisa Podile...
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
A perfect hash function (PHF) is an injective function that maps keys from a set S to unique values, which are in turn used to index a hash table. Since no collisions occur, each k...
Fabiano C. Botelho, Hendrickson R. Langbehn, Guilh...
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
Judith W. Dexheimer, Laura E. Brown, Jeffrey Leego...