Bounds without assumptions on the selection process
Lower Bounds on Assumptions behind Indistinguishability Obfuscation
... ness assumptions has remain an elusive open ...lower bounds on the assumptions that imply iO in a black-box way, based on computational ...computational assumptions, because if P = NP then ...
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Spectrum without Bounds, Networks without Borders
... density. Figures 5a and 5b show the shaping efficiency for the two power allocation schemes in the case when full coverage is required for the whole geographical area. What we observe is that the highest efficiency ...
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DIFFERENTIABILITY OF THE VALUE FUNCTION WITHOUT INTERIORITY ASSUMPTIONS
... Most of our remarks on the differentiability of the value function for models of economic growth can be applied directly to asset pricing models. Hence, our discussion will be brief. As already pointed out, the standard ...
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Healthcare without Bounds: Trends in Mobile Computing
... 4 of 4 CUSTOMER TESTIMONIALS Trends in Mobile Computing is an excellent review. People of your caliber should be recognized at national meetings for your valuable contribution of legitimate end-user based research, so we ...
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On pseudorandomization of information-theoretically secure schemes without hardness assumptions
... algorithms, which we call basic attack algorithms in this discussion. The parameter δ in the statement of the theorem bounds the approximation errors. First we consider the simplest case that each attack algorithm ...
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MQ^*-IP: An Identity-based Identification Scheme without Number-theoretic Assumptions
... 1.1 Related Work There has been much work in the area of identification schemes. A special stress has been laid on schemes which use number-theoretic assumption, e.g., factorisation or elliptic curves. See [PBO + 03, ...
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PAC-Bayesian Generalization Error Bounds for Gaussian Process Classification
... prior assumptions about the unknown data ...y(·), without assuming its membership in a fixed parametric ...random process distribution is often constructed implicitly, by defining distributions over ...
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Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization
... I. I NTRODUCTION The problem of sequentially optimizing a black-box function based on noisy bandit feedback has recently attracted a great deal of attention, and finds applications in robotics, environmental monitoring, ...
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Improved bounds for uniform hypergraphs without property B
... (iii) For each P ⊂ {1, 2, . . . , t} such that |P | is even and 0 ≤ |P | ≤ t/2 , e H ∪ e H for every pair e H , e H satisfying e H ∈ A P and e H ∈ B P We select an arbitrary set of n vertices from each of the ...
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Lower Bounds on Active Learning for Graphical Model Selection
... which is more fundamental. We proceed by discussing the two for both Ising models and Gaussian models. We first remark that the first terms in each of (8) and (9) do not contain d, and they were proved by con- sidering ...
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An Efficient E2E Verifiable E-voting System without Setup Assumptions
... F IGURE 4: Voting card. To enable verifiability, the EA needs to post necessary information regarding the election process on the BB. As depicted in Fig. 5, there are 7 columns and 2 rows for each ballot. Column I ...
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An Efficient E2E Verifiable E voting System without Setup Assumptions
... F IGURE 4: Voting card. To enable verifiability, the EA needs to post necessary information regarding the election process on the BB. As depicted in Fig. 5, there are 7 columns and 2 rows for each ballot. Column I ...
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COURSE SELECTION PROCESS
... 3. Students enrolled in seven classes may drop one course for a study hall during the first five days of the semester without grade penalty. Students are not allowed to drop AP, PreAP, or Honors courses for a ...
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Business cycles and the synchronization process: a bounds testing approach
... [Insert Table 4a to Table 4c] To assses the features of common business cycles in affiliation to the US and Japan, we rely on Table 5a-5d. As reported, the F-statistics are conclusively outside the upper range of ...
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Ewens sampling formulae with and without selection
... On the contrary, large values of correspond to situations in which the range of fragments sizes is lower: the fragments sizes look more homogeneous and distribution equation (1) concentrates on its centre. At high ...
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On the Limitations of Universally Composable Two-Party Computation Without Set-up Assumptions
... ideal process involving a trusted third ...ideal process adversary (or “simulator”) S that interacts with the trusted third party, such that no environment Z can tell whether it is interacting with A and ...
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Time Bounds for Selection*
... In this paper we present a new selection algorithm, PICK, and derive by an analysis of its efficiency the (surprising) result that the cost of selection is at most [r] ...
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Label Noise Reduction Without Assumptions
... (a) shows the training plot with the average validation accuracy over the last five epochs in brackets, (b) shows the number of incorrectly labeled examples in the top-10 examples by ran[r] ...
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Finance without Probabilistic Prior Assumptions
... As one cannot speak of equivalent martingale measures in this context, another notion of pricing measure is needed. It turns out that the right concept is full support martingale measure. The pricing functional has to ...
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