Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
This paper considers the problem of performing tasks in asynchronous distributed settings. This problem, called DoAll, has been substantially studied in synchronous models, but th...
It is not surprising that reaching human-level AI has proved to be difficult and progress has been slow— though there has been important progress. The slowness and the demand t...
Purpose – The purpose of this paper is to examine the integration of digital library (DL) technologies with ontology-based knowledge representation in providing semantic rich in...
Within nature, the success of many organisms, including certain species of insects, mammals, slime molds, and bacteria, is attributed to their performance of division of labor, wh...