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Books on the topic 'CNN MODELS'

Author: Grafiati

Published: 11 September 2023

Last updated: 25 July 2025

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1

Greene, Carol. I can be a model. Childrens Press, 1985.

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2

Greene, Carol. I can be a model. Childrens Press, 1985.

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3

Greene, Carol. I can be a model. Childrens Press, 1985.

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4

St-Amour, Luc. Realistic Construction Models You Can Make (Vehicles You Can Make Series). Fox Chapel Publishing Company, 2001.

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5

Rudd, Jeremy Bay. Can rational expectations sticky-price models explain inflation dynamics? Federal Reserve Board, 2003.

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6

Dueker, Michael. Can markov switching models predict excess foreign exchange returns? Federal Reserve Bank of St. Louis, 2001.

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7

Antonio Diez de los Rios. Can affine term structure models help us predict exchange rates? Bank of Canada, 2006.

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8

Rios-Zertuche, Daniel. Semantic data models can be implemented efficienty: A performance analysis perspective. Computer Systems Research Institute, University of Toronto, 1988.

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9

Chari, V. V. Can sticky price models generate volatile and persistent real exchange rates? National Bureau of Economic Research, 2000.

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10

Engel, Charles. Can the Markov switching model forecast exchange rates? National Bureau of Economic Research, 1992.

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11

Sztyber, Władysław Bogdan. Zasada względnej efektywności jako podstawa kształtowania cen. Instytut Finansów, 1986.

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12

Massimo, Warglien, and Masuch Michael 1949-, eds. The logic of organizational disorder. W. de Gruyter, 1996.

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13

Kuttner, Kenneth N. Can central banks target bond prices? National Bureau of Economic Research, 2006.

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14

Riddle, Peter. Easy Lionel layouts you can build. Kalmbach Books, 1998.

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15

Danna, Theresa M. Rollover, Mona Lisa!: How anyone can model for artists. Big Guy Pub., 1992.

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16

Feldstein, Martin S. Can state taxes redistribute income? National Bureau of Economic Research, 1994.

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17

Casella, Alessandra. Can foreign aid accelerate stabilization? National Bureau of Economic Research, 1994.

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18

Neural Networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles. Packt Publishing - ebooks Account, 2017.

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19

Arthouse I Can Make: Models. Ramboro Books PLC, 1997.

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20

Thompson, Erica. Escape from Model Land: How Mathematical Models Can Lead Us Astray and What We Can Do about It. Basic Books, 2022.

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21

Thompson, Erica. Escape from Model Land: How Mathematical Models Can Lead Us Astray and What We Can Do about It. Basic Books, 2022.

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22

Escape from Model Land: How Mathematical Models Can Lead Us Astray and What We Can Do about It. Murray Press, John, 2022.

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23

Escape from Model Land: How Mathematical Models Can Lead Us Astray and What We Can Do about It. Basic Books, 2022.

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24

Escape from Model Land: How Mathematical Models Can Lead Us Astray and What We Can Do about It. Murray Press, John, 2023.

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25

I Can Make Models (Look & Make). Franklin Watts Ltd, 1998.

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26

I Can Make Models (Look & Make). Franklin Watts Ltd, 1996.

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27

Marshall's Tendencies: What Can Economists Know? The MIT Press, 2000.

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28

Classic Railroads You Can Model (Model Railroader Books). Kalmbach Publishing Company, 2001.

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29

Boland, Lawrence A. Equilibrium models vs. evolutionary economic models. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190274320.003.0012.

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This chapter examines the extent to which models based on evolutionary economics can provide a worthy alternative to neoclassical equilibrium models. The chapter discusses the difference between Darwinian and non-Darwinian evolutionary economic models. The chapter includes a discussion of Armen Alchian’s 1950 article that he says is erroneously identified as evolutionary economics. The works of evolutionary economists Ulrich Witt, Jack Vromen, Richard Nelson and Sidney are explained and critically examined. The chapter also considers the question of whether evolutionary economics can ever disp

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30

Lynn, Sara, and Diane James. I Can Make Models (Jump! Starts: Craft). Two-Can Publishing Ltd, 1999.

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31

Gestures Can Create Models that Help Thinking. [publisher not identified], 2019.

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32

Marshall's Tendencies: What Can Economists Know? (Gaston Eyskens Lectures). The MIT Press, 2002.

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33

Miksza, Peter, and Kenneth Elpus. Multilevel Models. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199391905.003.0012.

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This chapter introduces a statistical approach for analyzing nested data structures that both accounts for the dependence of observations due to hierarchical arrangements and allows for testing hypotheses at multiple levels. The most common application of multilevel models is for analyses of objects (e.g., people) nested within groups or clusters of some sort. Multilevel models can also be applied to longitudinal data analyses such that the “levels” do not refer to objects nested within groups but instead refer to multiple measurements (e.g., measures made at different occasions/time points) n

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34

Classic railroads you can model. Kalmbach Books, 2002.

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35

Trackside scenes you can model. Kalmbach Books, 2003.

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36

Twenty-One Mental Models That Can Change Policing. Taylor & Francis Group, 2021.

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37

Stursberg, Pete. Your Dream Mentor: How Role Models Can Help. Northwest Publishing, 1994.

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38

Mitchell, Renée J. Twenty-One Mental Models That Can Change Policing. Taylor & Francis Group, 2021.

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39

Back, Kerry E. Factor Models. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190241148.003.0006.

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The CAPM and factor models in general are explained. Factors can be replaced by the returns or excess returns that are maximally correlated (the projections of the factors). A factor model is equivalent to an affine representation of an SDF and to spanning a return on the mean‐variance frontier. The use of alphas for performance evaluation is explained. Statistical factor models are defined as models in which factors explain the covariance matrix of returns. A proof is given of the Arbitrage Pricing Theory, which states that statistical factors are approximate pricing factors. The CAPM and the

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40

Harrod, Molly, Sanjay Saint, and Robert W. Stock. Role Models. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190671495.003.0007.

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Attendings understand that their behavior, as physicians, as instructors, as human beings, will most likely be internalized and emulated by some of their learners. As a result, they continually monitor themselves, striving to make sure that they are living up to their personal and professional standards. Attendings often hold themselves to a higher standard than they do their learners. Role modeling is an important part of the teaching process and includes demonstrating how to be a lifelong learner, maintaining professionalism in the face of adversity, and acknowledging the emotional toll that

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41

Rajeev, S. G. Integrable Models. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805021.003.0009.

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Some exceptional situations in fluid mechanics can be modeled by equations that are analytically solvable. The most famous example is the Korteweg–de Vries (KdV) equation for shallow water waves in a channel. The exact soliton solution of this equation is derived. The Lax pair formalism for solving the general initial value problem is outlined. Two hamiltonian formalisms for the KdV equation (Fadeev–Zakharov and Magri) are explained. Then a short review of the geometry of curves (Frenet–Serret equations) is given. They are used to derive a remarkably simple equation for the propagation of a ki

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42

Bueno, Otávio, and Steven French. Approaching Models. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198815044.003.0002.

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This chapter considers the framework needed in order for mathematical and physical structures to be examined and related, in philosophical terms. We contrast the structuralist account associated with Joseph Sneed, Wolfgang Stegmüller, and others with the models-focused account of Ron Giere. The former, we claim, is heavy on formalism at the expense of a consideration of practice, whereas the latter draws on a number of case studies but omits the crucial formal framework. We suggest rejecting both these extremes in favour of an approach that is appropriately formal, while retaining the ability

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43

Morrison, Margaret. Models and Theories. Edited by Paul Humphreys. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199368815.013.32.

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This chapter discusses the relation between models and theories as characterized by the syntactic and semantic views, as well as how that relation is understood in the more scientifically oriented or practice-based accounts of models. It also addresses epistemic issues concerning the model-world relationship and the importance of representation and explanation in assessing how abstract models deliver concrete information. The chapter claims that similarity and isomorphism, construed as general criteria, are often insufficient to characterize the way models relate to their target systems. Altho

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44

Volberda, Henk, Frans A. J. Van Den Bosch, and Kevin Heij. Reinventing Business Models. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198792048.001.0001.

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Although research on business model innovation is flourishing internationally, important questions on the ‘how’, ‘what’, and ‘when’ of this process remain largely unanswered, particularly in regard to the role of top management. Using new knowledge derived from a survey among firms from various industries and several case studies, this book seeks to give us better understanding of ‘how’ firms can innovate their business model, ‘what’ kind of levers management should work on, and ‘when’ management should change the business model. It particularly considers one key question: is it better to repl

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45

Cheng, Russell. Change-Point Models. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0011.

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This chapter investigates change-point (hazard rate) probability models for the random survival time in some population of interest. A parametric probability distribution is assumed with parameters to be estimated from a sample of observed survival times. If a change-point parameter, denoted by τ‎, is included to represent the time at which there is a discrete change in hazard rate, then the model is non-standard. The profile log-likelihood, with τ‎ as profiling parameter, has a discontinuous jump at every τ‎ equal to a sampled value, becoming unbounded as τ‎ tends to the largest observation.

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46

Bachelet, Dominique, Gitta Lasslop, and John T. Abatzoglou, eds. Climate, Land Use, and Fire: Can Models Inform Management? Frontiers Media SA, 2021. http://dx.doi.org/10.3389/978-2-88966-383-5.

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47

Less-Supervised Segmentation with CNNs: Scenarios, Models and Optimization. Elsevier Science & Technology, 2023.

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48

DiToro, Dominic M. Can TMDL Models Reproduce the Nutrient Loading-Hypoxia Relationship? IWA Publishing, 2015.

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49

Desrosiers, Christian, José Dolz, and Ismail Ben Ayed. Less-Supervised Segmentation with CNNs: Scenarios, Models and Optimization. Elsevier Science & Technology Books, 2023.

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50

Martin, Jeffrey J. Models of Disability. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190638054.003.0003.

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The purpose of this chapter is to describe the different models of disability to help sport and exercise psychology researchers understand the various philosophical and psychological perspectives embedded in each model. First examined is the medical model and how it frames disability as a personal flaw and a medical condition that needs fixing. The social model follows, which suggests that while people might have an impairment it is the physical and social environment that causes disability. The third model discussed is the social-relational model, which acknowledges that people’s physical imp

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