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EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 2 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...
RECOMB
2010
Springer
14 years 12 months ago
Leveraging Sequence Classification by Taxonomy-Based Multitask Learning
In this work we consider an inference task that biologists are very good at: deciphering biological processes by bringing together knowledge that has been obtained by experiments u...
Christian Widmer, Jose Leiva, Yasemin Altun, Gunna...
ICAC
2009
IEEE
14 years 7 months ago
Using distributed w-learning for multi-policy optimization in decentralized autonomic systems
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...
Ivana Dusparic, Vinny Cahill
COGSR
2010
149views more  COGSR 2010»
14 years 5 months ago
Cognitive concepts in autonomous soccer playing robots
Computational concepts of cognition, their implementation in complex autonomous systems, and their empirical evaluation are key techniques to understand and validate concepts of c...
Martin Lauer, Roland Hafner, Sascha Lange, Martin ...
JCM
2007
131views more  JCM 2007»
14 years 10 months ago
Routing in Optical and Non-Optical Networks using Boolean Satisfiability
—Today, most routing problems are solved using Dijkstra’s shortest path algorithm. Many efficient implementations of Dijkstra’s algorithm exist and can handle large networks ...
Fadi A. Aloul, Bashar Al Rawi, Mokhtar Aboelaze