We present a novel approach for classifying documents that combines different pieces of evidence (e.g., textual features of documents, links, and citations) transparently, through...
Adriano Veloso, Wagner Meira Jr., Marco Cristo, Ma...
This paper presents a BIST architecture for Finite State Machines that exploits Cellular Automata (CA) as pattern generators and signature analyzers. The main advantage of the pro...
Fulvio Corno, Nicola Gaudenzi, Paolo Prinetto, Mat...
In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...
: The fusion of data from different sensorial sources is the most promising method to increase robustness and reliability of environmental perception today. The paper presents an a...
Ulrich Scheunert, Philipp Lindner, Eric Richter, G...
Abstract. Peer-to-peer (P2P) architectures exhibit attractive properties for a wide range of real world systems. As a result they are increasingly being applied in the design of ap...
Steven Willmott, Josep M. Pujol, Ulises Cort&eacut...