Relevant bibliographies by topics / Statistically motivated bounds

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Statistically motivated bounds'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Statistically motivated bounds"

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Wu, Zeyang, Kameng Nip, and Qie He. "A New Combinatorial Algorithm for Separable Convex Resource Allocation with Nested Bound Constraints." INFORMS Journal on Computing 33, no. 3 (2021): 1197–212. http://dx.doi.org/10.1287/ijoc.2020.1006.

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The separable convex resource allocation problem with nested bound constraints aims to allocate B units of resources to n activities to minimize a separable convex cost function, with lower and upper bounds on the total amount of resources that can be consumed by nested subsets of activities. We develop a new combinatorial algorithm to solve this model exactly. Our algorithm is capable of solving instances with millions of activities in several minutes. The running time of our algorithm is at most 73% of the running time of the current best algorithm for benchmark instances with three classes
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Shparlinski, Igor E., and Katherine E. Stange. "Character Sums with Division Polynomials." Canadian Mathematical Bulletin 55, no. 4 (2012): 850–57. http://dx.doi.org/10.4153/cmb-2011-126-x.

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AbstractWe obtain nontrivial estimates of quadratic character sums of division polynomials Ψn(P), n = 1, 2, … , evaluated at a given point P on an elliptic curve over a finite field of q elements. Our bounds are nontrivial if the order of P is at least q1/2+∈ for some fixed ∈ > 0. This work is motivated by an open question about statistical indistinguishability of some cryptographically relevant sequences that was recently brought up by K. Lauter and the second author.
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Qi, Hua Mei, Min Wu, and Zhi Gang Chen. "On Upper Bound of the Quality of Service Performance in the Gateway of Wireless Mesh Networks." Advanced Materials Research 403-408 (November 2011): 2697–703. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2697.

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Motivated by the advantage of the gateway that acts as the performance bottleneck in wireless mesh networks (WMNs) while shaping the traffic with the greedy fractal shaper, a novel approach is proposed to derive the upper stochastic/statistical bound of the backlog, delay and delay jitter of the WMNs gateway quality of service (QoS) statistic bound model. By analyzing and evaluating the QoS performance of the present model based on network calculus theory with fair bandwidth distributed strategy, a number of useful curves are achieved. Simulation shows the performance of the present model.
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Zhang, Xiong-Peng, Bin Shao, and Jian Zou. "Investigating the lower bound of minimum gate times using optimal control." Modern Physics Letters B 32, no. 27 (2018): 1850322. http://dx.doi.org/10.1142/s0217984918503220.

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Motivated by a bound derived in a recent work [C. Arenz, B. Russell, D. Burgarth and H. Rabitz, New J. Phys. 19 (2017) 103015], we apply optimal control theory to the dynamics of qubit systems, with the goal of investigating the lower bound of minimum gate times. In practice, we not only need to reach the desired unitary gates but we need to do so in a reasonable time (below the typical decoherence time). Therefore, we employ the recently introduced lower bound to estimate the minimum gate time and resort to numerical gate optimization in order to study the tightness of the obtained bound and
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Bonnet, Luc, Jean-Luc Akian, Éric Savin, and T. Sullivan. "Adaptive Reconstruction of Imperfectly Observed Monotone Functions, with Applications to Uncertainty Quantification." Algorithms 13, no. 8 (2020): 196. http://dx.doi.org/10.3390/a13080196.

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Motivated by the desire to numerically calculate rigorous upper and lower bounds on deviation probabilities over large classes of probability distributions, we present an adaptive algorithm for the reconstruction of increasing real-valued functions. While this problem is similar to the classical statistical problem of isotonic regression, the optimisation setting alters several characteristics of the problem and opens natural algorithmic possibilities. We present our algorithm, establish sufficient conditions for convergence of the reconstruction to the ground truth, and apply the method to sy
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Kung, Jan-Yee, Jiahui Duan, Jianyou Xu, et al. "Metaheuristics for Order Scheduling Problem with Unequal Ready Times." Discrete Dynamics in Nature and Society 2018 (September 18, 2018): 1–13. http://dx.doi.org/10.1155/2018/4657368.

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In recent years, various customer order scheduling (OS) models can be found in numerous manufacturing and service systems in which several designers, who have developed modules independently for several different products, convene as a product development team, and that team completes a product design only after all the modules have been designed. In real-life situations, a customer order can have some requirements including due dates, weights of jobs, and unequal ready times. Once encountering different ready times, waiting for future order or job arrivals to raise the completeness of a batch
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HAN, QIANG. "VORTEX STATE IN f-WAVE SUPERCONDUCTORS." Modern Physics Letters B 21, no. 17 (2007): 1051–56. http://dx.doi.org/10.1142/s0217984907013377.

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Motivated by the controversy concerning the pairing symmetry of the superconducting sodium-doped cobalt oxide, we investigate the microscopic electronic structure of an f-wave superconductor in the vortex state by diagonalizing an effective Hamiltonian specified in the triangular lattice self-consistently. We find that the low-lying vortex core states are in essence extended for the nodal f-wave superconductors. In comparison, we find localized bound states in the vortex core of the fully-gapped (d + id')-wave superconductors.
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Merlo, Paola, and Suzanne Stevenson. "Automatic Verb Classification Based on Statistical Distributions of Argument Structure." Computational Linguistics 27, no. 3 (2001): 373–408. http://dx.doi.org/10.1162/089120101317066122.

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Automatic acquisition of lexical knowledge is critical to a wide range of natural language processing tasks. Especially important is knowledge about verbs, which are the primary source of relational information in a sentence-the predicate-argument structure that relates an action or state to its participants (i.e., who did what to whom). In this work, we report on supervised learning experiments to automatically classify three major types of English verbs, based on their argument structure-specifically, the thematic roles they assign to participants. We use linguistically-motivated statistical
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Mansoor Ahmed, Koondhar, Qiu Lingling, Li Houjian, Liu Weiwei, and He Ge. "A nexus between air pollution, energy consumption and growth of economy: A comparative study between the USA and China-based on the ARDL bound testing approach." Agricultural Economics (Zemědělská ekonomika) 64, No. 6 (2018): 265–76. http://dx.doi.org/10.17221/101/2017-agricecon.

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The aim of the study is to investigate and compare the correlation between energy consumption, air pollution and economic growth in China and the USA. Both countries are powerful economic countries in the world, thus we attempt to know whether energy consumption and air pollution vary as the economy develops. The data for the research spanning from 1970 to 2014 was gathered from an indicator of the World Bank. The time span was decided due to the data availability of both countries. To examine the long-run equilibrium relationship, there was performed the ARDL bound test. Results of unit root
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Sakanko, Musa, James Obilikwu, and Joseph David. "THE EFFECT OF AGGREGATE INSTITUTIONAL QUALITY ON FOREIGN DIRECT INVESTMENT IN NIGERIA: EVIDENCE FROM NARDL." Economics & Law 2, no. 2 (2020): 1–13. http://dx.doi.org/10.37708/el.swu.v2i2.1.

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The vital role of foreign direct investment has been widely studied and documented in the economic literature; however, the argument remains largely on identifying the main determinants of FDI to developing countries. It is on this note, the quantitative research method was adopted to investigates the asymmetric relationship between aggregate institutional quality and foreign direct investment in Nigeria using the Nonlinear Autoregressive Distributive Lag (NARDL) model on quarterly time-series data from 1999 Q1 – 2019 Q4. The bounds test obtains revealed that long-run co-integrating relationsh
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Dissertations / Theses on the topic "Statistically motivated bounds"

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Zhao, Lei. "Study on Optimality Conditions in Stochastic Linear Programming." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1343%5F1%5Fm.pdf&type=application/pdf.

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Book chapters on the topic "Statistically motivated bounds"

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Paakki, Henna, Antti Salovaara, and Heidi Vepsäläinen. "Do Online Trolling Strategies Differ in Political and Interest Forums: Early Results." In Disinformation in Open Online Media. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61841-4_13.

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Abstract This study compares the effectiveness of different trolling strategies in two online contexts: politically oriented forums that address issues like global warming, and interest-based forums that deal with people’s personal interests. Based on previous research, we consider trolling as context-bound and suggest that relevance theory and common grounding theory can explain why people may attend and react to certain types of troll posts in one forum, but pay scant attention to them in another. We postulate two hypotheses on how successful (i.e., disruptive) trolling varies according to context: that trolls’ messaging strategies appear in different frequencies in political and interest forums (H1), and that context-matching strategies also produce longer futile conversations (H2). Using Hardaker’s categorization of trolling strategies on a covert–overt continuum, our statistical analysis on a dataset of 49 online conversations verified H1: in political forums covert strategies were more common than overt ones; in interest forums the opposite was the case. Regarding H2 our results were inconclusive. However, the results motivate further research on this phenomenon with larger datasets.
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Conference papers on the topic "Statistically motivated bounds"

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Li, Jian, Yong Liu, Rong Yin, and Weiping Wang. "Multi-Class Learning using Unlabeled Samples: Theory and Algorithm." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/399.

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In this paper, we investigate the generalization performance of multi-class classification, for which we obtain a shaper error bound by using the notion of local Rademacher complexity and additional unlabeled samples, substantially improving the state-of-the-art bounds in existing multi-class learning methods. The statistical learning motivates us to devise an efficient multi-class learning framework with the local Rademacher complexity and Laplacian regularization. Coinciding with the theoretical analysis, experimental results demonstrate that the stated approach achieves better performance.
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Feng, Jinwen, Di Wu, Wei Gao, and Guoyin Li. "Non-Deterministic Free Vibration Analysis of Structures With Random and Fuzzy Parameters." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-71059.

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In this study, the uncertain free vibration of structures with hybrid (random and fuzzy) parameters is investigated. The non-deterministic Young’s modulus of structural elements is modeled as random variables while the uncertain mass density is represented by fuzzy parameters with associated membership functions. By implementing the α -sublevel strategy, the stochastic fuzzy eigenvalue problem is rigorously transformed into a series of stochastic interval analysis of natural frequencies. In this context, the Unified Interval Stochastic Sampling (UISS) is adopted such that the statistical chara
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Jiao, Renqiang, Jianrun Zhang, Fei Xue, Xin Liao, and Xin Liu. "Structural-Acoustic Responses of a Coupled Panel Cavity System Using a Deterministic-Statistical Approach." In ASME 2015 Noise Control and Acoustics Division Conference at InterNoise 2015. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/ncad2015-5920.

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The coupled panel cavity system composed of an acoustic space and a wall surface is a reasonable representation of many engineering applications. A good understanding of the structural-acoustic interaction between the structural vibration and sound pressure response inside the cavity is of critical importance to, for instance, the control of sound fields in car compartments, airplane and ship cabins, etc. Motivated by above, an investigation on the structural-acoustic responses of a coupled panel cavity system is presented. A rectangular acoustic cavity bounded by a flexible panel with elastic
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