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Random-access stored-program machine

Known as: Random access program machine, RASP machine, RASP 
In theoretical computer science the random-access stored-program (RASP) machine model is an abstract machine used for the purposes of algorithm… Expand
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Abstract machineAccumulator (computing)AlgorithmAndrey Ershov
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Dynamic Random-Access Stored-Program Machine for Runtime Code Modification
  • J. Rudy
  • Int. J. Found. Comput. Sci.
  • 2015
    • Corpus ID: 9963973
This paper is concerned with the study of possibility of performing changes to existing running programs with the use of the RAM… Expand
Highly Cited
2009
Highly Cited
2009
Reliable a Priori Shortest Path Problem with Limited Spatial and Temporal Dependencies
This paper studies the problem of finding most reliable a priori shortest paths (RASP) in a stochastic and time-dependent network… Expand
Highly Cited
2007
Highly Cited
2007
Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models
This article describes a number of log-linear parsing models for an automatically extracted lexicalized grammar. The models are… Expand
Highly Cited
2006
Highly Cited
2006
The Second Release of the RASP System
We describe the new release of the RASP (robust accurate statistical parsing) system, designed for syntactic annotation of free… Expand
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2005
2005
Computational complexity of random access stored program machines
  • J. Hartmanis
  • Mathematical systems theory
  • 2005
    • Corpus ID: 21594815
In this paper we explore the computational complexity measure defined by running times of programs on random access stored… Expand
Highly Cited
2005
Highly Cited
2005
Deep lexical acquisition of verb-particle constructions
This paper proposes a range of techniques for extracting English verb-particle constructions from raw text corpora, complete with… Expand
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Highly Cited
2005
Highly Cited
2005
Privacy preserving data classification with rotation perturbation
  • Keke Chen, L. Liu
  • Fifth IEEE International Conference on Data…
  • 2005
    • Corpus ID: 6277564
Data perturbation techniques are one of the most popular models for privacy preserving data mining (Agrawal and Srikant, 2000… Expand
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Highly Cited
2005
Highly Cited
2005
Simplified two-dimensional numerical modelling of coastal flooding and example applications
In this paper we outline the development and application of a simple two-dimensional hydraulic model for use in assessments of… Expand
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Highly Cited
2004
Highly Cited
2004
Characterising Measures of Lexical Distributional Similarity
This work investigates the variation in a word's distributionally nearest neighbours with respect to the similarity measure used… Expand
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Highly Cited
1964
Highly Cited
1964
Random-Access Stored-Program Machines, an Approach to Programming Languages
A new class of machine models as a framework for the rational discussion of programming languages is introduced. In particular, a… Expand
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