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{{Short description|Data structure for anagram solving}} ...|volume=17|issue=1 |pages=2012 |doi=10.1145/2133803.2133804}}</ref> is a [[data structure]] designed to solve [[anagram]]s. Solving an anagram is the probl ...

...hat are secure against attacks that could reveal their access history|data structures that are I/O efficient for arbitrary cache sizes|cache-oblivious algorithm} In [[computer science]], an '''oblivious data structure''' is a data structure that gives no information about the sequence or pattern of the op ...

{{Short description|Data structure for approximate set membership}} A '''cuckoo filter''' is a space-efficient [[probabilistic]] [[data structure]] that is used to test whether an [[Element (mathematics)|element ...

...after, AMQ filters) comprise a group of space-efficient probabilistic data structures that support approximate membership queries. An approximate membership quer ...MQ filters support inserting elements one at a time without rebuilding the data structure. Other AMQ filters have to be rebuilt after each insertion. Those ...

{{Short description|Probabilistic data structure in computer science}} {{Probabilistic}} ...

...'''median trick''' is a generic approach that increases the chances of a [[probabilistic algorithm]] to succeed.{{sfn | Kogler | Traxler | 2017 | p=378}} Apparently ...fferent [[hash function]]s) should be used for repeated runs over the same data.{{sfn | Wang | Han | 2015 | pp=17-18 | loc=Median Trick in Boosting Confide ...

...AT in which the number of satisfied clauses is maximized, solvers also use probabilistic algorithms.<ref>Sung, Phil. "Maximum Satisfiability" (2006) http://math.mit Note that the stochastic probabilistic solvers can also be used to find optimal approximations for Max-SAT. ...

...ividual problems and algorithms. It involves the research of both internal structures of various complexity classes and the relations between different complexit ...orem''' states that [[Bounded-error probabilistic polynomial|Bounded-error Probabilistic Polynomial]] (BPP) time, is contained in the [[Polynomial hierarchy|polynom ...

...learning | statistical relational learning (SRL)]] framework for modeling probabilistic and relational domains. ...ability to succinctly represent complex phenomena, and [[graphical model | probabilistic graphical models]], which capture the uncertainty and incompleteness inhere ...

...h other). In this way, version vectors enable [[causality]] tracking among data replicas and are a basic mechanism for [[optimistic replication]]. In math ...file systems, such as [[Coda (file system)]] and Ficus, and are the main data structure behind optimistic replication.<ref>David Ratner, Peter Reiher, an ...

{{Probabilistic}} ...=10.1016/0022-0000(85)90041-8 |title=Probabilistic counting algorithms for data base applications |journal=Journal of Computer and System Sciences |volume= ...

...from [[statistics]] and [[network science]] to [[machine learning]] and [[data mining]]. ...models have been proposed for link prediction by the machine learning and data mining community. ...

'''Skip graphs''' are a kind of distributed data structure based on [[skip list]]s. A nearly identical data structure called SkipNet was independently invented by Nicholas Harvey, Mic ...

A '''counting Bloom filter''' is a [[probabilistic]] [[data structure]] that is used to test whether the number of occurrences of a giv A counting Bloom filter is essentially the same data structure as [[count–min sketch]]es, but are used differently. ...

{{about|a data structure|retrieving information from texts|Information retrieval}} ...>{{cite thesis| type=PhD | title=Random hypergraphs for hashing-based data structures.|first1=Walzer|last1=Stefan|year=2020|pages=27–30|url=https://www.db-thueri ...

...channel-based coordination model for component composition]. Mathematical Structures in Computer Science 14(3):329--366, 2004.</ref><ref>Farhad Arbab: [https:// Such a graph represents the [[Dataflow|data-flow]] among the processes in the system. ...

...important in concrete structures, wood structures, geomechanics, composite structures, biomechanics and in many other areas.<ref name="apcie">{{Cite web |url=htt Worst case design requires less information than [[probabilistic design]] however the results are more conservative [Köylüoglu and [[Elishak ...

{{Short description|Data structure}} {{Infobox data structure ...

...g]] algorithms, where clusters are defined by regions of higher density of data points. ...irst1=D.|last1=Horn|first2=A.|last2=Gottlieb|date=2001|title=Algorithm for Data Clustering in Pattern Recognition Problems Based on Quantum Mechanics|url=h ...

The inventors of this data structure offer the following iterative explanation of its operation:{{sfn ...ding a single [[up/down counter]] {{mvar|C}}. After a single pass over the data, the frequency <math>n(q)</math> of a stream element {{mvar|q}} can be appr ...