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157
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ML
2000
ACM
244views Machine Learning» more  ML 2000»
15 years 3 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
123
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NPC
2010
Springer
15 years 2 months ago
Distributed Stream Processing with DUP
This paper introduces the DUP System, a simple framework for parallel stream processing. The DUP System enables developers to compose applications from stages written in almost any...
Kai Christian Bader, Tilo Eißler, Nathan S. ...
157
Voted
IFIPTCS
2010
15 years 1 months ago
A Semiring-Based Trace Semantics for Processes with Applications to Information Leakage Analysis
Abstract. We propose a framework for reasoning about program security building on language-theoretic and coalgebraic concepts. The behaviour of a system is viewed as a mapping from...
Michele Boreale, David Clark, Daniele Gorla
151
Voted
MEMOCODE
2010
IEEE
15 years 1 months ago
Feldspar: A domain specific language for digital signal processing algorithms
A new language, Feldspar, is presented, enabling high-level and platform-independent description of digital signal processing (DSP) algorithms. Feldspar is a pure functional langua...
Emil Axelsson, Koen Claessen, Gergely Dévai...
147
Voted
ICDE
2011
IEEE
238views Database» more  ICDE 2011»
14 years 7 months ago
Join queries on uncertain data: Semantics and efficient processing
— Uncertain data is quite common nowadays in a variety of modern database applications. At the same time, the join operation is one of the most important but expensive operations...
Tingjian Ge