tuple
SpringerReference · 2011
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About 8,154 papers for “Tuple”
SpringerReference · 2011
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Usharani Bhimavarapu, D. Jude Hemanth · 2023
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National Cancer Institute · Definitions · 2020
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Andrea Omicini, Enrico Denti · Science of Computer Programming · 2001
Cited by 209
Enrico Denti, Andrea Omicini · 1999
A tuple centre is a Linda-like tuple space whose behaviour can be programmed by means of transactional reactions to the standard communication events. This paper defines the notion of tuple centre, and shows the impact of its adoption as a coordination medium for a distributed multi-agent system on both the system design and the overall system efficiency.
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Bulletin of Miscellaneous Information (Royal Gardens Kew)
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Hasso Plattner · 2014
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Baiqiang Chen, Jian Zhang · 2011
We propose tuple density to be a new metric for combinatorial test suites. It can be used to distinguish one test suite from another even if they have the same size and strength. Moreover, it is also illustrated how a given test suite can be optimized based on this metric. The initial experimental results are encouraging.
Cited by 11
S Al-Nofayee · SPIRE - Sciences Po Institutional REpository · 2015
International audience
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Hasso Plattner · 2013
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Andrea Omicini · AMS Campus - AlmaDL · 2008
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Spiegel, Stefan · reposiTUm (TU Wien) · 2007
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van der Goot, RA, Schaeffer, J, Wilson, GV · Data Archiving and Networked Services (DANS) · 1997
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Robert Graczyk, Amos Lapidoth, Yiming Yan · 2021
A single-letter expression is provided for the exponential growth rate of the least expected number of guesses required to recover all the sequences produced by correlated memoryless sources when each guess is of a single source sequence, with the source at the guesser's discretion.
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Krishna Kumar Mohbey, Malika Acharya · BENTHAM SCIENCE PUBLISHERS eBooks · 2023
Another important data type of Python is dictionary. In the previous chapter, we acquainted the readers with the lists and strings. In this chapter, we shall discuss dictionaries and lists. lists are the ordered collection of objects but dictionaries are an unordered collection of objects. dictionary values are referred to using key-value pair instead of positional offset. Due to this, they have found great usage in search tables, records and aggregation. Another concept introduced in this chapter is tuples. These are immutable like strings and represent a stable collection of arbitrary items.
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Elena Nardini, Andrea Omicini, Mirko Viroli · Science of Computer Programming · 2012
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Maximilian Dylla, Martin Theobald · arXiv (Cornell University) · 2016
Learning the parameters of complex probabilistic-relational models from labeled training data is a standard technique in machine learning, which has been intensively studied in the subfield of Statistical Relational Learning (SRL), but---so far---this is still an under-investigated topic in the context of Probabilistic Databases (PDBs). In this paper, we focus on learning the probability values of base tuples in a PDB from labeled lineage formulas. The resulting learning problem can be viewed as the inverse problem to confidence computations in PDBs: given a set of labeled query answers, learn the probability values of the base tuples, such that the marginal probabilities of the query answers again yield in the assigned probability labels. We analyze the learning problem from a theoretical perspective, cast it into an optimization problem, and provide an algorithm based on stochastic gradient descent. Finally, we conclude by an experimental evaluation on three real-world and one synthetic dataset, thus comparing our approach to various techniques from SRL, reasoning in information extraction, and optimization.
Cited by 1Open access
Ronald Fagin · Encyclopedia of Database Systems · 2009
Cited by 6
Ioana Manolescu, Yannis Papakonstantinou, Vasilis Vassalos · Encyclopedia of Database Systems · 2016
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Encyclopedia of Database Systems · 2009
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