Linear programming

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  • We present a novel computational formulation of speaker authority in discourse. This notion, which focuses on how speakers position themselves relative to each other in discourse, is first developed into a reliable coding scheme (0.71 agreement between human annotators). We also provide a computational model for automatically annotating text using this coding scheme, using supervised learning enhanced by constraints implemented with Integer Linear Programming.

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  • In this paper, we present a formalization of grammatical role labeling within the framework of Integer Linear Programming (ILP). We focus on the integration of subcategorization information into the decision making process. We present a first empirical evaluation that achieves competitive precision and recall rates.

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  • Lecture Quantiative methods for bussiness - Chapter 7 introduction to linear programming. This chapter presents the following content: Linear programming problem, problem formulation, a simple maximization problem, graphical solution procedure, extreme points and the optimal solution, computer solutions, a simple minimization problem, special cases.

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  • The process of finding an optimum outcome from a set of constrained resources, where the objective function and the constraints can be expressed as linear equations. The process of finding an optimum outcome from a set of constrained resources, where the objective function and the constraints can be expressed as linear equations.

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  • In Chapter 11, Linear Programming was applied to those investments satisfying the following assumptions:Additivity within activities: resource consumption is constant per unit of output; there are no economies of scale.

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  • Tuyển tập các báo cáo nghiên cứu khoa học ngành toán học tạp chí Department of Mathematic dành cho các bạn yêu thích môn toán học đề tài: Linear programming and the worst-case analysis of greedy algorithms on cubic graphs...

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  • Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí y học Molecular Biology cung cấp cho các bạn kiến thức về ngành sinh học đề tài: A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data...

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  • Comparative News Summarization aims to highlight the commonalities and differences between two comparable news topics. In this study, we propose a novel approach to generating comparative news summaries. We formulate the task as an optimization problem of selecting proper sentences to maximize the comparativeness within the summary and the representativeness to both news topics. We consider semantic-related cross-topic concept pairs as comparative evidences, and consider topic-related concepts as representative evidences....

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  • Dency parsing. We believe that our formulations can pave the way for efficient exploitation of global features and constraints in parsing applications, leading to more powerful models. Riedel and Clarke (2006) cast dependency parsing as an ILP, but efficient formulations remain an open problem.

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  • This chapter presents the following content: Introduction to sensitivity analysis, objective function coefficients, right-hand sides, graphical sensitivity analysis, sensitivity analysis: computer solution, simultaneous changes.

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  • Lecture Quantiative methods for bussiness - Chapter 9 introduce linear programming applications in marketing, finance, and operations. This chapter includes contents: Marketing applications, financial applications, operations management applications.

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  • Chapter 19 - Linear programming. After studying this chapter you will be able to: Describe the type of problem that would lend itself to solution using linear programming, formulate a linear programming model from a description of a problem, solve simple linear programming problems using the graphical method,...

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  • WHO THIS BOOK IS FOR Be aware that this is not a beginner book. It is an intermediate-level book that assumes you are familiar with linear algebra (matrices, vectors, and quaternions), you have a strong C/C++ programming background, you have at least touched base with OpenGL or OpenGL ES, and you basically know how computer graphics work in general. If you have this necessary knowledge, and want to make lightning-fast progress in game and graphics programming, then you have found the right publication.

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  • This book is a survey of abstract algebra with emphasis on algebra tinh.Do is online for students in mathematics, computer science, and physical sciences. The rst three or four chapters can stand alone as a one semester course in abstract algebra. However, they are structured to provide the foundation for the program linear algebra. Chapter 2 is the most di cult part of the book for group written in additive notation and multiplication, and the concept of coset is confusing at rst. Chapter 2 After the book was much easier as you go along....

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  • Tham khảo sách 'eras program director’s workstation (pdws) user guide 2013', giáo dục - đào tạo, cao đẳng - đại học phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Tuyển tập các báo cáo nghiên cứu khoa học ngành toán học tạp chí Department of Mathematic dành cho các bạn yêu thích môn toán học đề tài:New Upper Bounds for the Size of Permutation Codes via Linear Programming...

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  • Incremental parsing techniques such as shift-reduce have gained popularity thanks to their efficiency, but there remains a major problem: the search is greedy and only explores a tiny fraction of the whole space (even with beam search) as opposed to dynamic programming.

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  • In this paper we introduce a dynamic programming algorithm to perform linear text segmentation by global minimization of a segmentation cost function which consists of: (a) within-segment word similarity and (b) prior information about segment length. The evaluation of the segmentation accuracy of the algorithm on Choi's text collection showed that the algorithm achieves the best segmentation accuracy so far reported in the literature. Keywords: Text Segmentation, Document Retrieval, Information Retrieval, Machine Learning. ...

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  • In chapter 11, we cover searching and sorting. After you have read and studied this chapter, you should be able to: Perform linear and binary search algorithms on small arrays, determine whether a linear or binary search is more effective for a given situation, perform selection and bubble sort algorithms, describe the heapsort algorithm and show how its performance is superior to the other two algorithms, apply basic sorting algorithms to sort an array of objects.

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