Results 11 to 20 of about 643,547 (199)
Information Theory in Computational Biology: Where We Stand Today
Entropy, 2020 “A Mathematical Theory of Communication” was published in 1948 by Claude Shannon to address the problems in the field of data compression and communication over (noisy) communication channels.
Pritam Chanda +5 more
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Inequalities involving hypergeometric and related functions
Journal of Inequalities and Applications, 2018 An inequality is being proved which is connected to cost-effective numerical density estimation of the hyper-gamma probability distribution. The left-hand side of the inequality is a combination of two in the third parameter distinct versions of the ...
Siegfried H. Lehnigk
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Computer supported collaborative learning in problem-based learning of statistics [PDF]
2012 International Conference on Multimedia Computing and Systems, 2012 This study investigated computer supported collaborative learning in the Web-based learning environment designed using the constructivist Problem-Based Learning (PBL) approach. One group of students was exposed to the constructivist PBL Web-based learning whilst another group was exposed to traditional PBL learning approach.
Rohani Ahmad Tarmizi +3 more
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INFORMATICS, COMPUTER ENGINEERING AND MANAGEMENT
Современная наука и инновации, 2022 The paper considers several combinatorial and optimization problems in Big Data systems, including the computational complexity of finding functional dependencies in the subject area and constructing a data schema, the number of combinations for ...
A. V. Malikov
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Statistical Resolution Limit Analysis of Two Closely Spaced Signal Sources Using Rao Test
IEEE Access, 2017 High computational complexity and difficulty in taking an analytical expression of detection statistics are some of the problems encountered when using the statistical resolution limit (SRL) analysis in the generalized likelihood ratio test (GLRT). A Rao
Minhong Sun +3 more
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Generalized statistics: Applications to data inverse problems with outlier-resistance.
PLoS ONE, 2023 The conventional approach to data-driven inversion framework is based on Gaussian statistics that presents serious difficulties, especially in the presence of outliers in the measurements. In this work, we present maximum likelihood estimators associated
Gustavo Z Dos Santos Lima +4 more
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Error Assessment of Computational Models in Chemistry
CHIMIA, 2017 Computational models in chemistry rely on a number of approximations. The effect of such approximations on observables derived from them is often unpredictable.
Gregor N. Simm +2 more
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Jurnal Ilmiah Pendidikan Fisika Al-Biruni, 2019 The trending topic in today's education is computational thinking skills which are used to help to solve complicated problems easier. This study aims to identify the level of knowledge and self-confidence of science teacher candidates (physics and ...
Titik Rahayu, Kamisah Osman
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ZPD Technological Learning Environment In Learning Computational Thinking Skill-Based Mathematics
Jurnal Pedagogi dan Pembelajaran, 2023 This research was conducted as an innovation related to learning problems that often occur in students. This research aims to develop a technological prototype of the mathematics-computation learning environment for playing skills using the Zone of ...
Kamid Kamid +5 more
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Verification Under Increasing Dimensionality [PDF]
, 2010 Verification decisions are often based on second order statistics estimated from a set of samples. Ongoing growth of computational resources allows for considering more and more features, increasing the dimensionality of the samples.
Hendrikse, Anne +2 more
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