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EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 1 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...
ISSS
2002
IEEE
141views Hardware» more  ISSS 2002»
15 years 2 months ago
An Accelerated Datapath Width Optimization Scheme for Area Reduction of Embedded Systems
Datapath width optimization is very effective for reducing the area of a custom-made embedded system. The trivial way of optimization is to iteratively customize, evaluate, and r...
Hiroto Yasuura, Yun Cao, Mohammad Mesbah Uddin
GPEM
2008
128views more  GPEM 2008»
14 years 9 months ago
Coevolutionary bid-based genetic programming for problem decomposition in classification
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
Peter Lichodzijewski, Malcolm I. Heywood
BMCBI
2011
14 years 4 months ago
A discriminative method for family-based protein remote homology detection that combines inductive logic programming and proposi
Background: Remote homology detection is a hard computational problem. Most approaches have trained computational models by using either full protein sequences or multiple sequenc...
Juliana S. Bernardes, Alessandra Carbone, Gerson Z...
SOFSEM
2012
Springer
13 years 5 months ago
Turing Machines for Dummies - Why Representations Do Matter
Abstract. Various methods exists in the literature for denoting the configuration of a Turing Machine. A key difference is whether the head position is indicated by some integer ...
Peter van Emde Boas