Communications of the ACM
Research Archive
The Research archive provides access to all Research articles published in past issues of Communications of the ACM.
November 2009
From Communications of the ACM
Predicting Structured Objects with Support Vector Machines
Machine Learning today offers a broad repertoire of methods for classification and regression. But what if we need to predict complex objects like trees, orderings, or alignments? Such problems arise naturally in natural language…
From Communications of the ACM
Technical Perspective: Narrowing the Semantic Gap in Distributed Programming
In science, significant advances are often made when researchers from different communities join forces.
From Communications of the ACM
Technical Perspective: Machine Learning For Complex Predictions
Interest in machine learning can be traced back to the early days of computer science. Alan Turing himself conjectured that some form of automatic learning would be required…
From Communications of the ACM
Declarative Networking
Declarative Networking is a programming methodology that enables developers to concisely specify network protocols and services, which are directly compiled to a dataflow framework that executes the specifications.