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ICONIP
1998
13 years 9 months ago
Inducing Relational Concepts with Neural Networks via the LINUS System
This paper presents a method to induce relational concepts with neural networks using the inductive logic programming system LINUS. Some first-order inductive learning tasks taken...
Rodrigo Basilio, Gerson Zaverucha, Artur S. d'Avil...
CCS
2005
ACM
14 years 1 months ago
A rewriting-based inference system for the NRL protocol analyzer: grammar generation
The NRL Protocol Analyzer (NPA) is a tool for the formal specification and analysis of cryptographic protocols that has been used with great effect on a number of complex real-l...
Santiago Escobar, Catherine Meadows, José M...
FCCM
2006
IEEE
133views VLSI» more  FCCM 2006»
14 years 1 months ago
A Field Programmable RFID Tag and Associated Design Flow
Current Radio Frequency Identification (RFID) systems generally have long design times and low tolerance to changes in specification. This paper describes a field programmable,...
Alex K. Jones, Raymond R. Hoare, Swapna R. Donthar...
IPPS
2010
IEEE
13 years 5 months ago
Static macro data flow: Compiling global control into local control
Abstract--The expression of parallel codes through abstract, high-level specifications of global control and data flow can greatly simplify the task of creating large parallel prog...
Pritish Jetley, Laxmikant V. Kalé
JFR
2006
108views more  JFR 2006»
13 years 7 months ago
Learning in a hierarchical control system: 4D/RCS in the DARPA LAGR program
The Defense Applied Research Projects Agency (DARPA) Learning Applied to Ground Vehicles (LAGR) program aims to develop algorithms for autonomous vehicle navigation that learn how...
James S. Albus, Roger Bostelman, Tommy Chang, Tsai...