Xem 1-20 trên 2386 kết quả Variability
  • The quantitative independent variables used in regression equations, which usually take values over some continuous range. Frequently, one may wish to include the quality independent variables, often called dummy variables, in the regression model in order to (i) capture the presence or absence of a ‘quality’, such as male or female, poor or rich, urban or rural areas, college degree or do not college degree, different stages of development, different period of time; (ii) to capture the interaction between them; and, (iii) or to take on one or more distinct values. ...

    pdf9p truongdoan 10-11-2009 66 19   Download

  • This chapter is of an introductory nature, its purpose being to indicate some concepts and results from the theory of probability which are used in later chapters . Most of these are contained in Chapters 1-9 of Gnedenko [47], and will therefore be cited without proof. The first section is somewhat isolated, and contains a series of results from the foundations of the theory of probability. A detailed account may be found in [76], or in Chapter I of [31] . Some of these will not be needed in the first part of the book, in which attention is confined to independent random variables ....

    pdf0p denngudo 21-06-2012 23 5   Download

  • This book provides a general introduction to the popular topic of climate variability. It explores various aspects of climate variability and change from different perspectives, ranging from the basic nature of low-frequency atmospheric variability to the adaptation to climate variability and change. This easy and accessible book can be used by professionals and non professionals alike.

    pdf204p cucdai_1 16-10-2012 24 5   Download

  • AN INQUIRY ll’TO THE EFFECTS OF PERSONALITY VARIABLES ON THE ECONOMIC RETURN TO EDUCATION The potential efficiency-enhancing effects of increased Tiebout choice operate through the assumption that parents prefer schools with j μ -promoting policies. To the extent that this is true, Tiebout choice induces a positive correlation between j μ and j x , since high- i x families will outbid lower- i x families for homes near the most preferred schools.

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  • Declaring bool Variables In the world of programming (unlike in the real world), everything is black or white, right or wrong, true or false. For example, if you create an integer variable called x, assign the value 99 to x

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  • Copying int Variables and Classes All primitive types such as int are called value types. When you declare an int variable, the compiler generates code that allocates a block of memory big enough to hold an integer.

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  • Incrementing and Decrementing Variables If you wanted to add 1 to a variable, you could use the + operator: count = count + 1; However, it is unlikely that an experienced programmer would write code like this.

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  • Tham khảo sách 'probability examples c-3 random variables ii', khoa học tự nhiên, toán học phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Tham khảo sách 'probability examples c-4 random variables iii', khoa học tự nhiên, toán học phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

    pdf113p sn_buon 29-11-2012 27 3   Download

  • Upon completing this lesson, you will be able to: Explain the operation of variable-length subnet masks on Cisco routers

    ppt14p trinhvang 25-01-2013 22 3   Download

  • We consider a semi-supervised setting for domain adaptation where only unlabeled data is available for the target domain. One way to tackle this problem is to train a generative model with latent variables on the mixture of data from the source and target domains. Such a model would cluster features in both domains and ensure that at least some of the latent variables are predictive of the label on the source domain.

    pdf10p hongdo_1 12-04-2013 14 3   Download

  • The present paper describes a robust approach for abbreviating terms. First, in order to incorporate non-local information into abbreviation generation tasks, we present both implicit and explicit solutions: the latent variable model, or alternatively, the label encoding approach with global information. Although the two approaches compete with one another, we demonstrate that these approaches are also complementary. By combining these two approaches, experiments revealed that the proposed abbreviation generator achieved the best results for both the Chinese and English languages. ...

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  • Large-scale discriminative machine translation promises to further the state-of-the-art, but has failed to deliver convincing gains over current heuristic frequency count systems. We argue that a principle reason for this failure is not dealing with multiple, equivalent translations. We present a translation model which models derivations as a latent variable, in both training and decoding, and is fully discriminative and globally optimised. Results show that accounting for multiple derivations does indeed improve performance.

    pdf9p hongphan_1 15-04-2013 16 3   Download

  • This paper presents a multi-neuro tagger that uses variable lengths of contexts and weighted inputs (with information gains) for part of speech tagging. Computer experiments show that it has a correct rate of over 94% for tagging ambiguous words when a small Thai corpus with 22,311 ambiguous words is used for training. This result is better than any of the results obtained using the single-neuro taggers with fixed but different lengths of contexts, which indicates that the multi-neuro tagger can dynamically find a suitable length of contexts in tagging. ...

    pdf5p bunrieu_1 18-04-2013 17 3   Download

  • Combinatory Categorial Grammars, CCGs, (Steedman 1985) have been shown by Weir and loshi (1988) to generate the same class of languages as Tree-Adjoining Grammars (TAG), Head Grammars (HG), and Linear Indexed Grammars (LIG). In this paper, I will discuss the effect of using variables in lexical category assignments in CCGs. It will be shown that using variables in lexical categories can increase the weak generative capacity of CCGs beyond the class of grammars listed above.

    pdf3p bunmoc_1 20-04-2013 17 3   Download

  • Variable Section Sweep là dùng một section có kích thước không đổi hoặc có kích thước thay đổi quét theo một đường dẫn chính và có thể kết hợp với một hoặc nhiều đường dẫn phụ.Chú ý: Khi chọn đường dẫm chính để tạo cho nó thành một chuỗi trong cùng đường dẫn chính ta click+Shift hoặc dùng Details...

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  • Bài giảng Bài 2: Variable and Data Types - Biến và kiểu dữ liệu bao gồm những nội dung về định danh; kiểu dữ liệu; biến; toán tử biểu thức; câu lệnh nhập; trình bày thuật toán bằng lưu đồ. Bài giảng phục vụ cho các bạn chuyên ngành Công nghệ thông tin và những bạn quan tâm tới lĩnh vực này.

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  • Two general approaches are used for valuing inventories and cost of goods sold. One approach, called absorption costing, is generally used for external reporting purposes. The other approach, called variable costing, is preferred by some managers for internal decision making and must be used when an income statement is prepared in the contribution format. This chapter shows how these two methods differ from each other. It also explains how to create segmented contribution format income statements.

    ppt20p tangtuy18 12-07-2016 7 3   Download

  • We present a new approach to disambiguating syntactically ambiguous words in context, based on Variable Memory Markov (VMM) models. In contrast to fixed-length Markov models, which predict based on fixed-length histories, variable memory Markov models dynamically adapt their history length based on the training data, and hence may use fewer parameters. In a test of a VMM based tagger on the Brown corpus, 95.81% of tokens are correctly classified.

    pdf7p bunmoc_1 20-04-2013 20 2   Download

  • We propose models for semantic orientations of phrases as well as classification methods based on the models. Although each phrase consists of multiple words, the semantic orientation of the phrase is not a mere sum of the orientations of the component words. Some words can invert the orientation. In order to capture the property of such phrases, we introduce latent variables into the models. Through experiments, we show that the proposed latent variable models work well in the classification of semantic orientations of phrases and achieved nearly 82% classification accuracy. ...

    pdf8p bunthai_1 06-05-2013 15 2   Download

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