Now we’re back to more fundamental papers. I would really have expected this to be at least number 3 or 4‚ but the strong showing by the AI discipline for the machine learning papers in spots 1‚ 4‚ and 5 pushed it down. This paper discusses the theory of sending communications down a noisy channel and demonstrates a few key engineering parameters‚ such as entropy‚ which is the range of states of a given communication. It’s one of the more fundamental papers of computer science‚ founding the field
Premium World Wide Web
Chapter 12 Supplement MAT126: Survey of Mathematical Methods Farshad Foroozan July 7‚ 2012 I chose problem number 6: 6. In an ad for moisturizing lotion‚ the following claim is made; “… it’s the # 1 dermatologist recommended brand.” What is misleading about the claim (Bluman‚ 2005)? Suspect samples‚ detached statistics‚ and implied connections are all used in this misleading claim. Companies use a variety of different techniques to help promote and sell their products. Marketing
Premium Question Dermatology Answer
MKT B370 Unit 5 Strategic capacity planning and facility design 120 OUHK Course Team Developer: Prof. Lee Tien Sheng‚ CUHK Dr Zhao Xiande‚ City University of Hong Kong Designer: Coordinator: Member: Production ETPU Publishing Team Cliff Hall‚ OUHK Dr Matthew Yeung‚ OUHK Ken Chan‚ OUHK Copyright © The Open University of Hong Kong‚ 1999‚ 2004‚ 2006‚ 2008‚ 2009‚ 2011. Revised 2012. All rights reserved. No part of this material may be reproduced in any form by any means without permission
Premium Decision making Costs Decision tree
References: [Da] [Fr] [St] G. B. Dantzig‚ Linear Programming and Extensions‚ Princeton University Press‚ 1963. J. Franklin‚ Mathematical Methods of Economics: Linear and Nonlinear Programming‚ Fixed-Point Theorem‚ Springer-Verlag‚ New York‚ 1980. G. Stigler‚ The cost of subsistence‚ The Journal of Farm Economics‚ 1945. 28
Premium Optimization Linear programming
1) What is the difference between pseudoscience and scientific evidence? Pseudoscience: anything being presented‚ as scientific but is not. Usually characterized by exaggerations‚ UN falsifiable claims‚ and anecdotes. Scientific Evidence: A process of inquiry followed by a body of knowledge. 2) Describe 3 main types of scientific inquiry: 3 types of scientific inquiry. Descriptive: what’s out there? Observing‚ no manipulations of variables Comparative: Seeks to describe relationships and correlations
Premium Bacteria Scientific method Antibiotic resistance
College of Management‚ NCTU Operation Research I Fall‚ 2008 Chap8 The Transportation and Assignment Problems Example: Three canneries and four warehouse Shipping Cost per Truckload Output Warehouse 1 2 3 4 464 513 654 867 75 1 Cannery 352 416 690 791 125 2 995 682 388 685 100 3 80 65 70 85 Allocation xij = the number of truckloads to be shipped from cannery i to warehouse j. The Transportation Problem Distribute goods from sources to destinations with
Premium Optimization Operations research Assignment problem
Defensive marketing strategies. Kalyanaram‚ G.‚ W. T. Robinson‚ G. L. Urban. 1995. Order of market entry: Established empirical generalizations‚ emerging empirical generalizations‚ and future research Kamien‚ M. I.‚ N. L. Schwartz. 1991. Dynamic optimization: The calculus of variations and optimal control in Economics and Keenan‚ F. 2002. How Seagate got its groove back. Business Week‚ June 24‚ 124. Kerin‚ R. A.‚ P. R. Varadarajan‚ R. A. Peterson. 1992. First-mover advantage: A synthesis‚ conceptual
Premium Product life cycle management Marginal cost New product development
7: Integer Linear Programming ♦ Textbook Publishing ♦ Yeager National Bank ♦ Production Scheduling with Changeover Costs Chapter 16: Markov Processes ♦ Dealer’s Absorbing State Probabilities in Black Jack Chapter 8: Nonlinear Optimization Models ♦ Portfolio Optimization with Transaction Costs Chapter 21: Dynamic Programming ♦ Process Design Preface The purpose of An Introduction to Management Science is to provide students with a sound
Premium Linear programming Optimization
for an organization. By using a variety of Supply Chain modeling and mathematical tools‚ an organization is able to develop an understanding of the implications of such factors. However‚ the vast array of tools also creates a dilemma about the best modeling approach. In the field of supply chain modeling‚ one dilemma that a corporation faces today is whether optimization‚ simulation‚ or a hybrid model (combination of optimization and simulation) is a better option to pursue. In this paper‚ we fundamentally
Premium Supply chain management Normal distribution Probability theory
to represent the character candidates. The estimation of feature space parameters is embedded in HMM training stage together with the estimation of the HMM model parameters. Finally‚ the lexicon information and HMM ranks are combined in a graph optimization problem for word-level recognition. This method corrects most of the errors produced by segmentation and HMM ranking stages by maximizing an information measure in an efficient graph search algorithm. The experiments in dicate higher recognition
Premium Maxima and minima Optimization