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4.4. ARTICLES 47ExercisesTask 1: Add the correct articles to the following sentences or mark theabsence of articles by −!1. true positive rate was higher in method X than methodY .2. method X had higher true positive rate than methodY .3. memory means power or process of recalling.4. X is algorithm which solves Travelling Salesman problem.algorithm X is fastest among all known T SP algorithms.5. data set X follows Normal distribution with parametersµ and σ 2 . parameter µ is mean of set X and parameterσ 2 is variance of X.6. problem X belongs to class P , if it has polynomial timealgorithm Y . time complexity of algorithm Y is O(p(n))where n is size of input and p is polynomial function.7. In next section we introduce theory of Bloom filters.8. To assess students’ proram codes, we construct bug library.bug library contains all errors which have occured in students’programs.9. infinite time Turing machines extend idea of traditionalTuring machines.10. In pattern extraction we produce set of new attributesfrom original ones. goal is to find such set of attributeswhich describes data best. goodness of representationdependes on modelling purpose, and in practice we have todefine appropriate goodness measure.11. In clustering analysis we divide data points into clusterssuch that all data points in one cluster are similar to each otherbut different from data points in other clusters.
48 CHAPTER 4. GRAMMAR WITH STYLE NOTES12. episode is set of events which occur together. If orderof events is fixed, episod is called serial.13. There is always danger that model overfits. dangerthat model overfits is unavoidable.14. main parts of computer are central unit, harddisk, and i/o devices. central unit is responsible <strong>for</strong> allcomputation.Task 2: Are the following words countable or uncountable? Which articlescan you use with them? Give example sentences!• space• requirement• model• program• computation• power• capacity• data• in<strong>for</strong>mation• knowledge• recognition• software• hardware• code• value• property• strength
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Scientific Writing for ComputerScie
Page 3 and 4: Contents1 Introduction 11.1 Goal 1:
Page 5 and 6: CONTENTS 54.5.5 Phrases . . . . . .
Page 7 and 8: CONTENTS 76.9.1 Idea . . . . . . .
Page 9 and 10: 2 CHAPTER 1. INTRODUCTION1.1.1 Prob
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Page 19: 12CHAPTER 2. SEARCHING, READING, AN
Page 22 and 23: 2.5. REFERENCES 15• Sometimes the
Page 24 and 25: 2.5. REFERENCES 17Examples:A journa
Page 26 and 27: 2.5. REFERENCES 19• If an article
Page 28 and 29: 2.7. YOUR OWN OPINIONS? 21• If yo
Page 30 and 31: Chapter 3Use of tables, figures,exa
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Page 34 and 35: 3.5. EXAMPLES AND DEFINITIONS 27•
Page 36 and 37: 3.6. EQUATIONS 293.6.3 Text inside
Page 38 and 39: Chapter 4Grammar with style notesVe
Page 40 and 41: 4.1. VERBS 334.1.3 Active or passiv
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Page 44 and 45: 4.2. NOUNS 37ExerciseRead the given
Page 46 and 47: 4.2. NOUNS 39”Statistics is the p
Page 48 and 49: 4.4. ARTICLES 41• Some common phr
Page 50 and 51: 4.4. ARTICLES 43When you refer to t
Page 52 and 53: 4.4. ARTICLES 451. Without any arti
Page 56 and 57: 4.4. ARTICLES 49• weakness• use
Page 58 and 59: 4.5. PRONOUNS 514.5.4 Many vs. seve
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Page 62 and 63: 4.7. ADVERBS 552. in the end, when
Page 64 and 65: 4.8. PARALLEL STRUCTURES 57• far,
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Page 68 and 69: 4.8. PARALLEL STRUCTURES 61either -
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Page 72 and 73: 4.9. PREPOSITIONS 65opportunity of/
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Page 84 and 85: 4.11. PARAGRAPHS 77If it is hard to
Page 86 and 87: 4.12. PUNCTUATION 79”Despite the
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6.4. WRITING EQUATIONS AND SPECIAL
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6.5. WRITING REFERENCES 99Definitio
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6.7. DRAWING FIGURES 101Figure 6.1:
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6.8. SPELL CHECKING 103d+, −dq0 q
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6.9. WRITING REFERENCES BY BIBTEX 1
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6.10. WRITING ALGORITHMS IN LATEX 1
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6.10. WRITING ALGORITHMS IN LATEX 1
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6.11. SPECIAL LATEX NOTES 111\item[
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6.11. SPECIAL LATEX NOTES 113\hline
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Chapter 7AppendicesAppendix A: A si
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117\subsection{The title of the sec
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119\title{The main title}\author{Yo
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121\begin{figure}[!h]\begin{center}
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Bibliography[1] Barrass, R.: Scient
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