\(\mathcal{D}\)-equivalence class
Elaborating the parameterized Equivalence Class Method for Dutch
... In this paper I outlined the problem with MWEs in NLP systems and discussed a very concrete method for a stan- dard for the lexical representation for Dutch idioms origi- nally proposed by Odijk (2003), viz. the ...
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Weakly Secure Equivalence-Class Signatures from Standard Assumptions
... on equivalence classes, or equivalence- class signatures (EQS) for short, allow similar applications to ...randomized. Equivalence-class signatures were introduced by Hanser and ...
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Equivalence class in the set of fuzzy numbers and its application in decision making problems
... same class and same order can be added and two fuzzy matrices of order m × n and n × p, respectively, in the same class can be multiplied in the sense of arithmetic operation of fuzzy numbers in an ...
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Functional Dependence and Equivalence Class Factors in Combinatorial Test Designs
... Factors for test case generation Factors determined from test cases Independent input factors Functionally dependent factors Age Weight Height Sex Intake Medicare Child Adult. 19 131 64 [r] ...
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Determining t in t closeness using Multiple Sensitive Attributes
... In [4], t-closenesswas proposed that formalizes the idea of global background knowledge by requiring thatthe distribution of a sensitive attribute in any equivalence class is close to the distribution of ...
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On CCZ-Equivalence, Extended-Affine Equivalence, and Function Twisting
... of equivalence remains ...CCZ-equivalence class into its Extended-Affine (EA) equivalence classes; EA-equivalence being a simple particular case of ...
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On the Single Valuedness of the Pre Kernel
... payoff equivalence classes induced by a TU game is finite ...payoff equivalence class [~γ] from the dom h an unique quadratic and convex function can be ...
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The Inequality Process vs The Saved Wealth Model Two Particle Systems of Income Distribution; Which Does Better Empirically?
... successively and independently perturbed seven more times, each an independent simulation of the IPDO, whose stationary distribution is then fitted to the data. The current optimum parameter vector may be replaced at any ...
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Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm
... We show that the PC-algorithm is asymptotically consistent for the equivalence class of the DAG (represented by the CPDAG) and its skeleton with corresponding very high-dimensional, sparse Gaussian ...
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Survey on Anonymization in Privacy Preserving Data Mining
... An equivalence class may have one value seem significantly more frequently than different values, enabling a foe to conclude that an element in the equivalence class is likely to have that ...
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Two Notions of Differential Equivalence on Sboxes
... involved in all known upper-bounds on the maximal expected differential probability over two rounds of an SPN cipher [PSLL03, CR15]. Not only the number, but also the location within the DDT of these maximal values may ...
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Dale’s Principle Is Necessary for an Optimal Neuronal Network’s Dynamics
... synaptical equivalence class of networks, this optimal network nec- essarily satisfy Dale’s ...synaptical equivalence classes of networks exist (Definition ...synaptical equivalence classes of ...
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Mass Formula for Self-Dual Codes over Galois Rings GR(p3, r)
... important class of linear codes for both theoretical and practical ...each equivalence class of self-dual ...of equivalence classes is ...
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S-KACA Anonymity Privacy Protection Based on Clustering Algorithm
... initial equivalence class will increase with the increasing of K value, this will lead to clustering time increasing, and thereby increasing the K-Prototypes-S-KACA algorithm ...
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Toward Implementing Heisenberg's Distinction in the Quantum Formalism
... The discovery that speed of light objects belong to a different ontic equivalence class than spacetime observers implies that it is possible for something to exist without existing in spacetime. Arguably, ...
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Learning Instrumental Variables with Structural and Non-Gaussianity Assumptions
... (equivalence class) from priors for elements which cannot be distinguished (the choice within the equivalence class, given the equivalence ...corresponding equivalence ...
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Privacy Preservation Measure using t-closeness with combined l-diversity and k-anonymity
... This is achieved by anonymizing the data before release. The first step of anonymization is to remove explicit identifiers. However, this is not enough, as an adversary may already know the quasi-identifier values of ...
6
Estimation in causal graphical models
... Useful assumptions that help us to define and characterise a prior distribution associated with each network structure in the equivalence class of Bayesian networks are local and global [r] ...
201
Incremental Computation of Success Patterns of Logic Programs
... For depth abstractions, abstraction depth can only be increased uniformly. That means that every equivalence class has to be split when analysis is refined. It would be better to be able to split some ...
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Maxwell-Huygens, Newton-Cartan, and Saunders-Knox Spacetimes
... a class of preferred inertial states of ...an equivalence class of flat, metric-compatible derivative operators, all of which agree on whether any given vector field is ...
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