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» Delegation Modeling with Paradigm
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SAGA
2001
Springer
15 years 10 months ago
Stochastic Finite Learning
Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to potential ap...
Thomas Zeugmann
EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 10 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
KIVS
1999
Springer
15 years 10 months ago
Mobile Agents as an Architectural Concept for Internet-Based Distributed Applications - The WASP Project Approach
Abstract. After introducing the concept of mobile agents and potential application domains, we motivate why mobile agent technology is an interesting concept for large Internet-bas...
Stefan Fünfrocken, Friedemann Mattern
PPSN
1994
Springer
15 years 10 months ago
Genetic L-System Programming
We present the Genetic L-System Programming (GLP) paradigm for evolutionary creation and development of parallel rewrite systems (Lsystems, Lindenmayer-systems) which provide a com...
Christian Jacob
DEXAW
2007
IEEE
199views Database» more  DEXAW 2007»
15 years 10 months ago
Dealing with Sporadic Strangers, or the (Un)Suitability of Trust for Mobile P2P Security
A number of factors, such as the increasing popularity of wireless networks, the opportunities offered by 3G services, and the rapid proliferation of mobile devices, have stimulat...
Esther Palomar, Juan M. Estévez-Tapiador, J...