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Maximum entropy
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Part 1 of ebook "Entropy theory and its application in environmental and water engineering" provides readers with contents including: introduction; entropy theory; principle of maximum entropy; derivation of pome-based distributions; multivariate probability distributions; principle of minimum cross-entropy; derivation of pome-based distributions;...
326p
mothoiphong
28-06-2024
2
1
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Ebook Non-equilibrium thermodynamics and the production of entropy: Life, earth, and beyond - Part 1
Part 1 of ebook "Non-equilibrium thermodynamics and the production of entropy: Life, earth, and beyond" provides readers with contents including: entropy production by earth system processes; non-equilibrium thermodynamics in an energy-rich universe; stumbling into the MEP racket, an historical perspective; maximum entropy production and non-equilibrium statistical mechanics; using ecology to quantify organization in fluid flows;...
133p
dongmelo
26-05-2024
3
2
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Ebook "Electron density and chemical bonding II: Theoretical charge density studies" focuses on state-of-the-art, theoretically oriented advancements in the field and offers six very different, yet important contributions. In the first chapter, Koritsanszky and coworkers revisit the pseudoatom model, which together with the maximum entropy method constitutes the core of the discipline.
300p
coduathanh1122
27-03-2024
6
1
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In ebook "Electron, spin and momentum densities and chemical reactivity" the electron density of a non-degenerate ground state system determines essentially all physical properties of the system. This statement of the Hohenberg–Kohn theorem of Density Functional Theory plays an exceptionally important role among all the fundamental relations of Molecular Physics.
344p
coduathanh1122
27-03-2024
4
1
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Ebook "Machine learning in computer vision" includes content: Introduction, probabilistic classifiers, generalization bounds, semi supervised learning, maximum likelihood minimum entropy hmm, margin distribution optimization, learning the structure of bayesian network classifiers, office activity recognition, multimodal event detection, facial expression recognition, bayesian network classifiers for face detection.
249p
haojiubujain07
20-09-2023
4
3
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Probability is the bedrock of machine learning. You cannot develop a deep understanding and application of machine learning without it. Cut through the equations, Greek letters, and confusion, and discover the topics in probability that you need to know. Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover the importance of probability to machine learning, Bayesian probability, entropy, density estimation, maximum likelihood, and much more.
319p
viironman
02-06-2023
9
5
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This paper presents the theoretical concept used to estimate the Constant Elasticity of Substitution (CES) and Constant Elasticity of Transformation (CET) parameters. Applying the maximum entropy method, the study tries to estimate trade parameters, i.e. CES and CET, the value of which are just assumed in many CGE models.
6p
vilexus
30-09-2022
13
3
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Part 1 of book "Speech and Language Processing: An introduction to natural language processing" provide with knowledge about: regular expressions and automata; words and transducers; N-grams; word classes and part-of-speech tagging; hidden markov and maximum entropy models; phonetics; speech synthesis; automatic speech recognition; speech recognition: advanced topics;...
509p
britaikridanik
06-07-2022
35
3
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During faunal rescue activities for the construction of a wind farm in the Northeast Region of Brazil, a single specimen of the gymnophthalmid lizard Anotosaura vanzolinia was captured, which represents the first record of the species for the state of Piauí. We used this record, along with records found in the literature, to model the potential distribution of the species according to environmental suitability using the maximum entropy algorithm MaxEnt. The occurrence records of A.
7p
dolomite36
30-12-2021
9
0
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Within its range, the Caspian green lizard, Lacerta strigata, occurs in the Elburz Mountains (northern Iran) at elevations from below sea level to approximately 2700 m a.s.l. To determine the environmental factors affecting the distribution of this lizard, we used an ensemble approach to model the distribution of the Caspian green lizard (Lacerta strigata) in Iran using four algorithms (generalized boosted model, maximum entropy, generalized linear model, random forest).
8p
dolomite36
30-12-2021
8
0
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Ecological niche models (ENMs) provide information to assess the effects of environmental and climatic conditions on species distribution. The purpose of this study was to predict the impact of climate change on a critically endangered species, Campanula yaltirikii H.Duman. It is a local endemic chasmophyte from Mt Çığlıkara (Antalya, Turkey), restricted to cracks in calcareous rocks and threatened by goat overgrazing. Current and future ENMs of C. yaltirikii were predicted with a maximum entropy (Maxent) algorithm.
10p
tudichquannguyet
29-11-2021
13
2
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Biological sequence motifs drive the specific interactions of proteins and nucleic acids. Accordingly, the effective computational discovery and analysis of such motifs is a central theme in bioinformatics. Many practical questions about the properties of motifs can be recast as random sampling problems.
18p
vioklahoma2711
19-11-2020
8
0
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Luận văn tập trung vào tìm hiểu các mô hình học máy có giám sát phổ biến, được ứng dụng trong bài toán phân lớp quan điểm người dùng cho dữ liệu văn bản thu được từ các kênh truyền thông xã hội. Mời các bạn cùng tham khảo nội dung chi tiết.
27p
tamynhan1
13-06-2020
58
5
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Trong luận văn, Tác giả cũng đã lựa chọn bộ phân lớp Maximum Entropy để cài đặt và thử nghiệm, đồng thời ứng dụng vào hệ thống tự động phân tích dữ liệu truyền thông xã hội trực tuyến phục vụ quản lý và hỗ trợ ra quyết định trong lĩnh vực đào tạo cho Đại học Quốc gia Hà Nội.
8p
tamynhan1
13-06-2020
38
3
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In this paper, we will make explicit the error in the mean value and the standard deviation when using different types of distribution laws. We also employ the principle of maximum entropy as a criterion to choose among the truncated Gaussian, the fitted Gaussian and the lognormal distribution.
8p
christabelhuynh
29-05-2020
9
1
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A study of south-west monsoon daily rainfall at Hisar was carried out for the period of 1925-2003 (79 years). In semi-arid tropics the weather conditions have a tendency to cluster together to a certain extent which means that the occurrence of rainfall on a particular day depends on the weather conditions of the previous day.
6p
kequaidan4
05-05-2020
7
1
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By analysing the risk of interbank contagion during two distinctive crises, namely the Finnish banking crisis in the 1990s and the most recent financial crisis of the 2000s, this paper provides evidence on negative domino effects in a small open economy with a concentrated banking system. Simulations based on interbank exposures and maximum entropy estimations shed light on the magnitude of the contagion and the vulnerability to cross-border risks.
21p
035522894
13-04-2020
17
2
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16p
035522894
13-04-2020
16
1
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JVnTagger: Công cụ gán nhãn từ loại tiếng Việt dựa trên Conditional Random Fields và Maximum Entropy
Nội dung bài viết trình bày công cụ gán nhãn từ loại tiếng Việt dựa trên Conditional Random Fields và Maximum Entropy. Để hiểu rõ hơn, mời các bạn tham khảo chi tiết nội dung bài viết.
7p
slimzslimz
18-12-2019
34
1
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Ecological niche modelling or Predictive habitat distribution modelling framework for Sesamum mulayanum Nair, an important wild relative of oilseed crop Sesame has been analyzed using Maximum Entropy method. Based on the Ecological Niche model generated using the presence points only from Maharashtra state, potential states identified for the distribution wild sesame species (S. mulayanum) in India are Andhra Pradesh, Chhattisgarh, Karnataka, Kerala, Goa, Gujarat, Madhya Pradesh and Maharashtra.
11p
kethamoi2
15-12-2019
13
0
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