Results 31 to 40 of about 12,421,662 (339)
Ranking, selecting, and prioritising genes with desirability functions [PDF]
PeerJ, 2015 In functional genomics experiments, researchers often select genes to follow-up or validate from a long list of differentially expressed genes. Typically, sharp thresholds are used to bin genes into groups such as significant/non-significant or fold ...
Stanley E. Lazic
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Log-rank and lifting for AND-functions [PDF]
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021 20 pages; comments welcome!
Alexander Knop +3 more
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On the Rank Function of a Differential Poset [PDF]
The Electronic Journal of Combinatorics, 2012 We study $r$-differential posets, a class of combinatorial objects introduced in 1988 by the first author, which gathers together a number of remarkable combinatorial and algebraic properties, and generalizes important examples of ranked posets, including the Young lattice.
Stanley, Richard P., Zanello, Fabrizio
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Boosting the Learning for Ranking Patterns
Algorithms, 2023 Pattern mining is a valuable tool for exploratory data analysis, but identifying relevant patterns for a specific user is challenging. Various interestingness measures have been developed to evaluate patterns, but they may not efficiently estimate user ...
Nassim Belmecheri +4 more
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Ranking Function Detection via SVM: A More General Method
IEEE Access, 2019 The existence of a ranking function implies the termination of a loop. Different methods are designed for detection of different classes of ranking functions.
Yue Yuan, Yi Li
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The rank order of the neutrosophic triplets (T, I, F) may change after normalization [PDF]
International Journal of Research in Industrial EngineeringThis paper examines the effects of normalization on the ranking order of single-valued neutrosophic triplets. Neutrosophic triplets are often normalized so that their sum equals one.
Florentin Smarandache
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Rank dynamics for functional data
Computational Statistics & Data Analysis, 2020 The study of the dynamic behavior of cross-sectional ranks over time for functional data and the ranks of the observed curves at each time point and their temporal evolution can yield valuable insights into the time dynamics of functional data. This approach is of interest in various application areas.
Yaqing Chen 0003 +2 more
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Cybernetics and Information Technologies, 2021 Many authors agree that the Interval-Valued Intuitionistic Fuzzy Set (IVIFS) theory generates as realistic as possible evaluation of real-life problems. One of the real-life problems where IVIFSs are often preferred is the Multi-Criteria Decision-Making (
Kokoç Melda, Ersöz Süleyman
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Unbiased Comparative Evaluation of Ranking Functions [PDF]
International Conference on the Theory of Information Retrieval, 2016 Eliciting relevance judgments for ranking evaluation is labor-intensive and costly, motivating careful selection of which documents to judge. Unlike traditional approaches that make this selection deterministically, probabilistic sampling enables the ...
Tobias Schnabel +3 more
semanticscholar +1 more source
The uncertain representation ranking framework for concept-based video retrieval [PDF]
, 2012 Concept based video retrieval often relies on imperfect and uncertain concept detectors. We propose a general ranking framework to define effective and robust ranking functions, through explicitly addressing detector uncertainty.
Djoerd Hiemstra +15 more
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