Cascade-Correlation is a new architecture and supervised learning algorithm for artificial neural networks. Instead of just adjusting the weights in a network of fixed topology,...
d at a high abstraction level, and consists in an expectation-driven search starting from symbolic object descriptions and using a version of a distributed blackboard system for re...
Gian Luca Foresti, Vittorio Murino, Carlo S. Regaz...
As we approach nation-wide integration of computer systems, it is clear that le replication will play a key role, both to improve data availability in the face of failures, and to...
Richard G. Guy, John S. Heidemann, Wai-Kei Mak, Th...
We present a general approximation technique for a large class of graph problems. Our technique mostly applies to problems of covering, at minimum cost, the vertices of a graph wit...
One of the NLM experimental approaches to the 2007 Genomics track question answering task followed the track evaluation design: we attempted identifying exact answers in the form ...
Dina Demner-Fushman, Susanne M. Humphrey, Nicholas...