Results for 'intervals'

976 found
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  1. Interval Neutrosophic Rough Sets.Said Broumi & Florentin Smarandache - 2015 - Neutrosophic Sets and Systems 7:23-31.
    This Paper combines interval- valued neutrouphic sets and rough sets. It studies roughness in interval- valued neutrosophic sets and some of its properties. Finally we propose a Hamming distance between lower and upper approximations of interval valued neutrosophic sets.
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  2.  70
    Interval scalability of rank-dependent utility.Mikhail V. Sokolov - 2011 - Theory and Decision 70 (3):255-282.
    Luce and Narens (Journal of Mathematical Psychology, 29:1–72, 1985) showed that rank-dependent utility (RDU) is the most general interval scale utility model for binary lotteries. It can be easily established that this result cannot be generalized to lotteries with more than two outcomes. This article suggests several additional conditions to ensure RDU as the only utility model with the desired property of interval scalability in the general case. The related axiomatizations of some special cases of RDU of independent interest (the (...)
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  3. Parity, interval value, and choice.Ruth Chang - 2005 - Ethics 115 (2):331-350.
    This paper begins with a response to Josh Gert’s challenge that ‘on a par with’ is not a sui generis fourth value relation beyond ‘better than’, ‘worse than’, and ‘equally good’. It then explores two further questions: can parity be modeled by an interval representation of value? And what should one rationally do when faced with items on a par? I argue that an interval representation of value is incompatible with the possibility that items are on a par (a mathematical (...)
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  4. Interval-based Dynamics of Loose Talk.Charlie Siu - 2023 - Synthese 202 (10):1-23.
    Carter (Noûs 55(1):171–198, 2021) argued that while most simple positive numerical sentences are literally false, they can communicate true contents because relevance has a weakening effect on their literal contents. This paper presents a challenge for his account by considering entailments between the imprecise contents of numerical sentences and the imprecise contents of comparatives. I argue that while Carter's weakening mechanism can generate the imprecise contents of plain comparatives such as `A is taller than B', it cannot generate the imprecise (...)
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  5.  63
    Relational dual tableaux for interval temporal logics.David Bresolin, Joanna Golinska-Pilarek & Ewa Orlowska - 2006 - Journal of Applied Non-Classical Logics 16 (3-4):251–277.
    Interval temporal logics provide both an insight into a nature of time and a framework for temporal reasoning in various areas of computer science. In this paper we present sound and complete relational proof systems in the style of dual tableaux for relational logics associated with modal logics of temporal intervals and we prove that the systems enable us to verify validity and entailment of these temporal logics. We show how to incorporate in the systems various relations between (...) and/or various time orderings. (shrink)
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  6. Temporal intervals and temporal order.Paul Needham - 1981 - Logique Et Analyse 24 (93):51.
    A logic of intervals is proposed akin to the one published by Hamblin (Hamblin (1969) and (1971)). Like Hamblin's, the present system is also based on a single primitive. However, the work presented here differs from Hamblin's in a number of respects. Most importantly, the present system is explicitly based on mereological ideas in such a way that not only are the two notions of abutment and temporal order involved in Hamblin's primitive two-place relation "abuts at the earlier end" (...)
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  7. Soft Interval-Valued Neutrosophic Rough Sets.Said Broumi & Florentin Smarandache - 2015 - Neutrosophic Sets and Systems 7:69-80.
    In this paper, we first defined soft intervalvalued neutrosophic rough sets(SIVN- rough sets for short) which combines interval valued neutrosophic soft set and rough sets and studied some of its basic properties. This concept is an extension of soft interval valued intuitionistic fuzzy rough sets( SIVIF- rough sets). Finally an illustartive example is given to verfy the developped algorithm and to demonstrate its practicality and effectiveness.
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  8.  46
    Interval-Valued Intuitionistic Fuzzy Ordered Weighted Cosine Similarity Measure and Its Application in Investment Decision-Making.Donghai Liu, Xiaohong Chen & Dan Peng - 2017 - Complexity:1-11.
    We present the interval-valued intuitionistic fuzzy ordered weighted cosine similarity measure in this paper, which combines the interval-valued intuitionistic fuzzy cosine similarity measure with the generalized ordered weighted averaging operator. The main advantage of the IVIFOWCS measure provides a parameterized family of similarity measures, and the decision maker can use the IVIFOWCS measure to consider a lot of possibilities and select the aggregation operator in accordance with his interests. We have studied some of its main properties and particular cases such (...)
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  9.  21
    Long-interval intracortical inhibition in primary motor cortex related to working memory in middle-aged adults.María Redondo-Camós, Gabriele Cattaneo, Vanessa Alviarez-Schulze, Selma Delgado-Gallén, Goretti España-Irla, Javier Solana-Sanchez, Ruben Perellón-Alfonso, Sergiu Albu, José M. Tormos, Alvaro Pascual-Leone & David Bartres-Faz - 2022 - Frontiers in Psychology 13.
    IntroductionExcitability of the primary motor cortex measured with TMS has been associated with cognitive dysfunctions in patient populations. However, only a few studies have explored this relationship in healthy adults, and even fewer have considered the role of biological sex.MethodsNinety-seven healthy middle-aged adults completed a TMS protocol and a neuropsychological assessment. Resting Motor Threshold and Long-Interval Intracortical Inhibition were assessed in the left motor cortex and related to attention, episodic memory, working memory, reasoning, and global cognition composite scores to evaluate (...)
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  10.  47
    Interstimulus interval and time estimation in ratings of signaled shock aversiveness.Milton D. Suboski, Tonnar G. Brace, Louise A. Jarrold, Kurt J. Teller & Richard Dieter - 1972 - Journal of Experimental Psychology 96 (2):407.
  11.  14
    Coalitional Interval Games for Strategic Games in Which Players Cooperate.Luisa Carpente, Balbina Casas-méndez, Ignacio García-Jurado & Anne Nouweland - 2008 - Theory and Decision 65 (3):253-269.
    We propose a method to associate a coalitional interval game with each strategic game. The method is based on the lower and upper values of finite two-person zero-sum games. Associating with a strategic game a coalitional interval game we avoid having to take either a pessimistic or an optimistic approach to the problem. The paper makes two contributions to the literature: It provides a theoretical foundation for the study of coalitional interval games and it also provides, studies, and characterizes a (...)
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  12. Interval Valued Neutrosophic Soft Topological Spaces.Anjan Mukherjee, Mithun Datta & Florentin Smarandache - 2014 - Neutrosophic Sets and Systems 6:18-27.
    In this paper we introduce the concept of interval valued neutrosophic soft topological space together with interval valued neutrosophic soft finer and interval valued neutrosophic soft coarser topology. We also define interval valued neutrosophic interior and closer of an interval valued neutrosophic soft set. Some theorems and examples are cites. Interval valued neutrosophic soft subspace topology are studied. Some examples and theorems regarding this concept are presented.
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  13. Cosine Similarity Measure of Interval Valued Neutrosophic Sets.Said Broumi & Florentin Smarandache - 2014 - Neutrosophic Sets and Systems 5:15-20.
    In this paper, we define a new cosine similarity between two interval valued neutrosophic sets based on Bhattacharya’s distance [19]. The notions of interval valued neutrosophic sets (IVNS, for short) will be used as vector representations in 3D-vector space. Based on the comparative analysis of the existing similarity measures for IVNS, we find that our proposed similarity measure is better and more robust. An illustrative example of the pattern recognition shows that the proposed method is simple and effective.
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  14. Coalitional Interval Games for Strategic Games in Which Players Cooperate.Luisa Carpente, Balbina Casas-Méndez, Ignacio García-Jurado & Anne van den Nouweland - 2008 - Theory and Decision 65 (3):253-269.
    We propose a method to associate a coalitional interval game with each strategic game. The method is based on the lower and upper values of finite two-person zero-sum games. Associating with a strategic game a coalitional interval game we avoid having to take either a pessimistic or an optimistic approach to the problem. The paper makes two contributions to the literature: It provides a theoretical foundation for the study of coalitional interval games and it also provides, studies, and characterizes a (...)
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  15.  26
    Intervals and ratios: the invariantive transformations of Stanley Smith Stevens.George Matheson - 2006 - History of the Human Sciences 19 (3):65-81.
    Of S. S. Stevens's well-known classification of nominal, ordinal, interval and ratio ‘scales of measurement’, perhaps its least-known aspect is its most distinctive, namely the distinction between interval and ratio scales. This article investigates the circumstances of the typology's origins among the experimental psychologists at Harvard in the 1930s and the unique fusion of personal, technical and intellectual forces this setting represented. It shows how it came to be that an influential psychologist reconceptualized measurement from first principles in such a (...)
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  16.  34
    The interval: relation and becoming in Irigaray, Aristotle, and Bergson.Rebecca Hill - 2012 - New York: Fordham University Press.
    The oblivion of the interval -- Being in place -- The aporia between envelope and things -- Dualism in Bergson -- Interval, sexual difference -- Beyond man: rethinking life and matter -- Conclusion: interval as relation, interval as becoming.
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  17. Propositional interval neighborhood logics: Expressiveness, decidability, and undecidable extensions.Davide Bresolin, Valentin Goranko, Angelo Montanari & Guido Sciavicco - 2010 - Annals of Pure and Applied Logic 161 (3):289-304.
    In this paper, we investigate the expressiveness of the variety of propositional interval neighborhood logics , we establish their decidability on linearly ordered domains and some important subclasses, and we prove the undecidability of a number of extensions of PNL with additional modalities over interval relations. All together, we show that PNL form a quite expressive and nearly maximal decidable fragment of Halpern–Shoham’s interval logic HS.
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  18.  11
    Endless intervals: cinema, psychology, and semiotechnics around 1900.Jeffrey West Kirkwood - 2022 - Minneapolis: University of Minnesota Press.
    Recovering largely forgotten and untranslated texts, Endless Intervals makes the case that cinema, rather than being a technology assaulting the psyche, is in fact the technology that produced the modern psyche. It considers the ways machines can create meaning, offering a fascinating theory of how the discontinuous intervals of soulless mechanisms ultimately produced a rich continuous experience of inner life.
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  19. Correlation Coefficient Measures of Interval Bipolar Neutrosophic Sets for Solving Multi-Attribute Decision Making Problems.Surapati Pramanik, Dey Partha Pratim & Florentin Smarandache - 2018 - Neutrosophic Sets and Systems 19:70-79.
    Interval bipolar neutrosophic set is a significant extension of interval neutrosophic set where every element of the set comprises of three independent positive membership functions and three independent negative membership functions. In this study, we first define correlation coefficient, and weighted correlation coefficient measures of interval bipolar neutrosophic sets and prove their basic properties. Then, we develop a new multi-attribute decision making strategy based on the proposed weighted correlation coefficient measure. Finally, we solve an investment problem with interval bipolar neutrosophic (...)
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  20.  40
    Interval Orders and Reverse Mathematics.Alberto Marcone - 2007 - Notre Dame Journal of Formal Logic 48 (3):425-448.
    We study the reverse mathematics of interval orders. We establish the logical strength of the implications among various definitions of the notion of interval order. We also consider the strength of different versions of the characterization theorem for interval orders: a partial order is an interval order if and only if it does not contain 2 \oplus 2. We also study proper interval orders and their characterization theorem: a partial order is a proper interval order if and only if it (...)
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  21.  25
    Confidence intervals and tests are two sides of the same research question.Jose D. Perezgonzalez - 2015 - Frontiers in Psychology 6.
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  22.  19
    The intervals of the lattice of recursively enumerable sets determined by major subsets.Wolfgang Maass & Michael Stob - 1983 - Annals of Pure and Applied Logic 24 (2):189-212.
  23. Nondegenerate Intervals of No-Trade Prices for Risk Averse Traders.Gerd Weinrich - 1999 - Theory and Decision 46 (1):79-99.
    According to the local risk-neutrality theorem an agent who has the opportunity to invest in an uncertain asset does not buy it or sell it short iff its expected value is equal to its price, independently of the agent's attitude towards risk. Contrary to that it is shown that, in the context of expected utility theory with differentiable vNM utility function, but without the assumption of stochastic constant returns to scale, nondegenerate intervals of no-trade prices may exist. With a (...)
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  24.  70
    Semicontinuous Representability of Homothetic Interval Orders by Means of Two Homogeneous Functionals.Gianni Bosi - 2002 - Theory and Decision 52 (4):303-312.
    It is well known that interval orders are particularly interesting in decision theory, since they are reflexive, complete and nontransitive binary relations which may be fully represented by means of two real-valued functions. In this paper, we discuss the existence of a pair of nonnegative, positively homogeneous and semicontinuous real-valued functionals representing an interval order on a real cone in a topological vector space. We recover as a particular case a result concerning the existence of a nonnegative, positively homogeneous and (...)
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  25. Algebras of intervals and a logic of conditional assertions.Peter Milne - 2004 - Journal of Philosophical Logic 33 (5):497-548.
    Intervals in boolean algebras enter into the study of conditional assertions (or events) in two ways: directly, either from intuitive arguments or from Goodman, Nguyen and Walker's representation theorem, as suitable mathematical entities to bear conditional probabilities, or indirectly, via a representation theorem for the family of algebras associated with de Finetti's three-valued logic of conditional assertions/events. Further representation theorems forge a connection with rough sets. The representation theorems and an equivalent of the boolean prime ideal theorem yield an (...)
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  26. Algebraic Structures using Super Interval Matrices.W. B. Vasantha Kandasamy & Florentin Smarandache - 2011 - Columbus, OH, USA: Educational Publisher.
    In this book authors for the first time introduce the notion of super interval matrices using special intervals. The advantage of using super interval matrices is that one can build only one vector space using m × n interval matrices, but in case of super interval matrices we can have several such spaces depending on the partition on the interval matrix.
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  27. Universal intervals : towards a dependency-aware interval algebra.Hend Dawood & Yasser Dawood - 2020 - In Snehashish Chakraverty (ed.), Mathematical methods in interdisciplinary sciences. Hoboken, NJ: Wiley.
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  28.  7
    Interval and Ratio Scaling of Spectral Audio Descriptors.Savvas Kazazis, Philippe Depalle & Stephen McAdams - 2022 - Frontiers in Psychology 13.
    Two experiments were conducted for the derivation of psychophysical scales of the following audio descriptors: spectral centroid, spectral spread, spectral skewness, odd-to-even harmonic ratio, spectral deviation, and spectral slope. The stimulus sets of each audio descriptor were synthesized and independently controlled through appropriate synthesis techniques. Partition scaling methods were used in both experiments, and the scales were constructed by fitting well-behaving functions to the listeners' ratings. In the first experiment, the listeners' task was the estimation of the relative differences between (...)
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  29.  39
    Multiple-interval-dependent robust stability analysis for uncertain stochastic neural networks with mixed-delays.Jianwei Xia, Ju H. Park & Hao Shen - 2016 - Complexity 21 (1):147-162.
  30.  56
    Interval order and semiorder lattices.M. F. Janowitz - 1990 - Foundations of Physics 20 (6):715-732.
    When a set of closed intervals of the reals is partially ordered by decreeing that Aintervals having a fixed length. The paper initiates a careful study of interval orders and semiorders that happen also to be lattices. A structure theory is obtained for a class of interval order lattices that (...)
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  31.  27
    Interval Prediction Method for Solar Radiation Based on Kernel Density Estimation and Machine Learning.Meiyan Zhao, Yuhu Zhang, Tao Hu & Peng Wang - 2022 - Complexity 2022:1-13.
    Precise global solar radiation data are indispensable to the design, planning, operation, and management of solar radiation utilization equipment. Some examples prove that the uncertainty of the prediction of solar radiation provides more value than deterministic ones in the management of power systems. This study appraises the potential of random forest, V-support vector regression, and a resilient backpropagation artificial neural network for daily global solar radiation point prediction from average relative humidity, daily average temperature, and daily sunshine duration. To acquire (...)
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  32.  24
    Intervals and tenses.Peter Roper - 1980 - Journal of Philosophical Logic 9 (4):451 - 469.
    Neither question (1) nor question (2) posed on page 446 have been adequately answered in this paper. Regarding (1) we have merely given functor maps onto the object languages of physical theories and regarding (2) we have merely described the algebraic structure of observables. A more satisfactory treatment will most likely involve (1) a generalization to algebraic categories, universal algebra and model theory in such a way as to capture the full inference structure of (perhaps van Fraassen's modal) quantum logic, (...)
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  33.  37
    Retention interval hypothesis and evidence for its basic assumptions.Chizuko Izawa - 1972 - Journal of Experimental Psychology 96 (1):17.
  34.  34
    Interstimulus interval and CS duration effects in differential conditioning.Laird S. Cermak & Delos D. Wickens - 1969 - Journal of Experimental Psychology 79 (2p1):233.
  35. Intersolution interval-functions in anticipatory contrast.C. Flaherty, Ps Grigson & Kc Hnat - 1989 - Bulletin of the Psychonomic Society 27 (6):528-528.
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  36.  32
    Interval Prediction of Photovoltaic Power Using Improved NARX Network and Density Peak Clustering Based on Kernel Mahalanobis Distance.Wen-He Chen, Long-Sheng Cheng, Zhi-Peng Chang, Han-Ting Zhou, Qi-Feng Yao, Zhai-Ming Peng, Li-Qun Fu & Zong-Xiang Chen - 2022 - Complexity 2022:1-22.
    Photovoltaic power forecasting can provide strong support for the safe operation of the power system. Existing forecasting methods are ineffective for grid scheduling decisions or risk analysis. The novel multicluster interval prediction method is proposed to consider the volatility and randomness of PV power output. First, this method utilizes the sparse autoencoder and Bayesian regularized NARX network for point forecasting of PV power. Second, density peak clustering improved by kernel Mahalanobis distance is applied to classify the dataset into multiple clusters, (...)
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  37.  20
    Second interval discrimination conditioning of the GSR as a function of UCS intensity and trace and delay conditioning paradigms.Arthur R. Zeiner - 1968 - Journal of Experimental Psychology 78 (2p1):276.
  38. Interval. Performing, strolling, thinking : from minor literature to theatre of the future / Daniel Watt ; Off the beaten path or, notes towards a Heideggerian deterritorialisation : a response to Daniel Watt.Julian Wolfreys - 2009 - In Laura Cull (ed.), Deleuze and performance. Edinburgh: Edinburgh University Press.
  39.  20
    Interval-Related Interpolation in Interval Temporal Logics.Dimitar Guelev - 2001 - Logic Journal of the IGPL 9 (5):677-685.
    This paper presents a new kind of interpolation theorems about Neighbourhood Logic and Interval Temporal Logic . Unlike Craig interpolation, which holds for these logics too, the new theorems treat the existence of interpolants which specify properties of selected intervals in the models of NL and ITL.
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  40. Interval neutrosophic sets applied to ideals in BCK/BCI-algebras.Seok-Zun Song, Madad Khan, Florentin Smarandache & Young Bae Jun - 2017 - Neutrosophic Sets and Systems 18:16-26.
    In this article, we apply the notion of interval neutrosophic sets to ideal theory in BCK/BCI-algebras.
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  41.  87
    Short-interval intracortical inhibition is not affected by varying visual feedback in an isometric task in biceps brachii muscle.Timo Rantalainen, Ashleigh Weier, Michael Leung, Chris Brandner, Michael Spittle & Dawson Kidgell - 2013 - Frontiers in Human Neuroscience 7.
  42.  28
    Birth intervals regarding infant mortality and extramarital reproduction in a Spanish rural community.V. Fuster, A. Jiménez & B. Morales - 1995 - Journal of Biosocial Science 27 (4):421-429.
    SummaryRecord linking provided information on the complete reproductive schedules of a sample of 1102 couples with at least two children born alive from a rural Spanish community characterised by very high extramarital reproduction. Birth spacing was analysed considering final family size as well as the legitimate–illegitimate status and sex of the newborn, and survival of the preceding sibling.
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  43.  28
    P-Value, Confidence Intervals, and Statistical Inference: A New Dataset of Misinterpretation.Ziyang Lyu, Kaiping Peng & Chuan-Peng Hu - 2018 - Frontiers in Psychology 9:340981.
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  44.  97
    The interval of motion in Leibniz's pacidius philalethi.Samuel Levey - 2003 - Noûs 37 (3):371–416.
  45.  20
    Interval in the Theory of Relativity.V. N. Strel’Tsov - 1998 - Apeiron 5 (3-4):209.
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  46.  73
    An Interval Efficiency Measurement in DEA When considering Undesirable Outputs.Renbian Mo, Hongyun Huang & Liyang Yang - 2020 - Complexity 2020:1-12.
    Data envelopment analysis is a popular mathematical tool for analyzing the relative efficiency of homogenous decision-making units. However, the existing DEA models cannot tackle the newly confronted applications with imprecise and negative data as well as undesirable outputs simultaneously. Thus, we introduce undesirable outputs into modified slack-based measure model and propose an interval-modified slack-based measure model, which extends the application of interval DEA in fields that concern with less undesirable outputs. The novelties of the model are that it considers the (...)
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  47.  59
    Intervals containing exactly one c.e. degree.Guohua Wu - 2007 - Annals of Pure and Applied Logic 146 (1):91-102.
    Cooper proved in [S.B. Cooper, Strong minimal covers for recursively enumerable degrees, Math. Logic Quart. 42 191–196] the existence of a c.e. degree with a strong minimal cover . So is the greastest c.e. degree below . Cooper and Yi pointed out in [S.B. Cooper, X. Yi, Isolated d.r.e. degrees, University of Leeds, Dept. of Pure Math., 1995. Preprint] that this strongly minimal cover cannot be d.c.e., and meanwhile, they proposed the notion of isolated degrees: a d.c.e. degree is isolated (...)
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  48.  33
    The Support Interval.Eric-Jan Wagenmakers, Quentin F. Gronau, Fabian Dablander & Alexander Etz - 2020 - Erkenntnis 87 (2):589-601.
    A frequentist confidence interval can be constructed by inverting a hypothesis test, such that the interval contains only parameter values that would not have been rejected by the test. We show how a similar definition can be employed to construct a Bayesian support interval. Consistent with Carnap’s theory of corroboration, the support interval contains only parameter values that receive at least some minimum amount of support from the data. The support interval is not subject to Lindley’s paradox and provides an (...)
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  49.  14
    Combining interval-based temporal reasoning with general TBoxes.Carsten Lutz - 2004 - Artificial Intelligence 152 (2):235-274.
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  50.  7
    Interval Orders Defended: A Reply to Danielsson.Ulrich Nortmann - 1998 - In Christoph Fehige & Ulla Wessels (eds.), Preferences. New York: De Gruyter. pp. 19--123.
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