In microarray classification we are faced with a very large number of features and very few training samples. This is a challenge for classical Linear Discriminant Analysis (LDA),...
Roger Pique-Regi, Antonio Ortega, Shahab Asgharzad...
The fused Lasso penalty enforces sparsity in both the coefficients and their successive differences, which is desirable for applications with features ordered in some meaningful w...
Argument diagramming tools can improve reasoning and learning. They are likely to have a significant place in future virtual learning environments whose design will be dominated b...
Wireless multi-hop networks are particularly susceptible to attacks based on flooding and the interception, tampering with, and forging of packets. Thus, reliable communication in...
The one-step anticipatory algorithm (1s-AA) is an online algorithm making decisions under uncertainty by ignoring future non-anticipativity constraints. It makes near-optimal decis...