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236
Voted
EH
1999
IEEE
1999
IEEE
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
15 years 7 months ago
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...
122
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IWANN
1999
Springer
15 years 6 months ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
VLDB
1998
ACM
15 years 6 months ago
1998
ACM
Users often can not easily express their queries. For example, in a multimedia image by content setting, the user might want photographs with sunsets; in current systems, like QBI...
111
Voted
VLDB
1998
ACM
15 years 6 months ago
1998
ACM
To fulfill the requirement of fast interactive multidimensional data analysis, database systems precompute aggregate views on some subsets of dimensions and their corresponding hi...
125
Voted
IPPS
1996
IEEE
15 years 6 months ago
1996
IEEE
A common statistical problem is that of nding the median element in a set of data. This paper presents a fastand portable parallel algorithm for nding the median given a set of el...