Search results for "Computer and Information Science"

showing 10 items of 1335 documents

Designing the Business Conversation Corpus

2020

While the progress of machine translation of written text has come far in the past several years thanks to the increasing availability of parallel corpora and corpora-based training technologies, automatic translation of spoken text and dialogues remains challenging even for modern systems. In this paper, we aim to boost the machine translation quality of conversational texts by introducing a newly constructed Japanese-English business conversation parallel corpus. A detailed analysis of the corpus is provided along with challenging examples for automatic translation. We also experiment with adding the corpus in a machine translation training scenario and show how the resulting system benef…

FOS: Computer and information sciences050101 languages & linguisticsComputer Science - Computation and LanguageMachine translationComputer sciencebusiness.industrymedia_common.quotation_subject05 social sciencesAutomatic translation02 engineering and technologycomputer.software_genre0202 electrical engineering electronic engineering information engineeringComputingMethodologies_DOCUMENTANDTEXTPROCESSING020201 artificial intelligence & image processing0501 psychology and cognitive sciencesConversationQuality (business)Artificial intelligencebusinesscomputerComputation and Language (cs.CL)Natural language processingmedia_common
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Inducing the Lyndon Array

2019

In this paper we propose a variant of the induced suffix sorting algorithm by Nong (TOIS, 2013) that computes simultaneously the Lyndon array and the suffix array of a text in $O(n)$ time using $\sigma + O(1)$ words of working space, where $n$ is the length of the text and $\sigma$ is the alphabet size. Our result improves the previous best space requirement for linear time computation of the Lyndon array. In fact, all the known linear algorithms for Lyndon array computation use suffix sorting as a preprocessing step and use $O(n)$ words of working space in addition to the Lyndon array and suffix array. Experimental results with real and synthetic datasets show that our algorithm is not onl…

FOS: Computer and information sciences050101 languages & linguisticsComputer scienceComputationInduced suffix sorting02 engineering and technologySpace (mathematics)law.inventionSuffix sortinglawSuffix arrayComputer Science - Data Structures and Algorithms0202 electrical engineering electronic engineering information engineeringData_FILESPreprocessorData Structures and Algorithms (cs.DS)0501 psychology and cognitive sciencesComputer Science::Data Structures and AlgorithmsTime complexitySettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informatica05 social sciencesLightweight algorithmSuffix arraySigmaComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Induced suffix sorting; Lightweight algorithms; Lyndon array; Suffix arrayWorking spaceLyndon arrayLightweight algorithms020201 artificial intelligence & image processingAlgorithmComputer Science::Formal Languages and Automata Theory
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Software Startup Practices -- Software Development in Startups through the Lens of the Essence Theory of Software Engineering

2020

Software startups continue to be important drivers of economy globally. As the initial investment required to found a new software company becomes smaller and smaller resulting from technological advances such as cloud technology, increasing numbers of new software startups are born. Typically, the main argument for studying software startups is that they differ from mature software organizations in various ways, thus making the findings of many existing studies not directly applicable to them. How, exactly, software startups really differ from other types of software organizations as an on-going debate. In this paper, we seek to better understand how software startups differ from mature so…

FOS: Computer and information sciences050101 languages & linguisticsComputer scienceohjelmistotuotantoContext (language use)Cloud computing02 engineering and technologystartup-yrityksetThrough-the-lens meteringComputer Science - Software Engineeringcase studytapaustutkimusSoftwareArgument0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesbusiness.industry05 social sciencesSoftware developmentInvestment (macroeconomics)software startupSoftware Engineering (cs.SE)software development020201 artificial intelligence & image processingessence theory of software engineeringohjelmistokehitysbusinessSoftware engineeringsoftware development practice
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On the Inner Product Predicate and a Generalization of Matching Vector Families

2018

Motivated by cryptographic applications such as predicate encryption, we consider the problem of representing an arbitrary predicate as the inner product predicate on two vectors. Concretely, fix a Boolean function $P$ and some modulus $q$. We are interested in encoding $x$ to $\vec x$ and $y$ to $\vec y$ so that $$P(x,y) = 1 \Longleftrightarrow \langle\vec x,\vec y\rangle= 0 \bmod q,$$ where the vectors should be as short as possible. This problem can also be viewed as a generalization of matching vector families, which corresponds to the equality predicate. Matching vector families have been used in the constructions of Ramsey graphs, private information retrieval (PIR) protocols, and mor…

FOS: Computer and information sciences060201 languages & linguistics000 Computer science knowledge general worksComputer Science - Cryptography and Security06 humanities and the arts02 engineering and technologyComputational Complexity (cs.CC)Computer Science - Computational Complexity0602 languages and literatureComputer ScienceFOS: Mathematics0202 electrical engineering electronic engineering information engineeringMathematics - Combinatorics020201 artificial intelligence & image processingCombinatorics (math.CO)Cryptography and Security (cs.CR)
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sj-docx-2-dhj-10.1177_20552076221074485 - Supplemental material for The role of age and digital competence on the use of online health and social car…

2022

Supplemental material, sj-docx-2-dhj-10.1177_20552076221074485 for The role of age and digital competence on the use of online health and social care services: A cross-sectional population-based survey by T Heponiemi, A-M Kaihlanen, A Kouvonen, L Leemann, S Taipale and K Gluschkoff in Digital Health

FOS: Computer and information sciences200299 Cultural Studies not elsewhere classifiedScience PolicyFOS: Clinical medicineFOS: Political science150310 Organisation and Management TheoryCardiology111799 Public Health and Health Services not elsewhere classifiedFOS: Health sciences110306 Endocrinology110308 Geriatrics and Gerontology99999 Engineering not elsewhere classifiedFOS: SociologyFOS: Economics and business111099 Nursing not elsewhere classifiedFOS: Other engineering and technologiesSociology111708 Health and Community ServicesAnthropology111702 Aged Health Care89999 Information and Computing Sciences not elsewhere classifiedFOS: Other humanities160512 Social Policy111299 Oncology and Carcinogenesis not elsewhere classified
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sj-docx-1-dhj-10.1177_20552076221074485 - Supplemental material for The role of age and digital competence on the use of online health and social car…

2022

Supplemental material, sj-docx-1-dhj-10.1177_20552076221074485 for The role of age and digital competence on the use of online health and social care services: A cross-sectional population-based survey by T Heponiemi, A-M Kaihlanen, A Kouvonen, L Leemann, S Taipale and K Gluschkoff in Digital Health

FOS: Computer and information sciences200299 Cultural Studies not elsewhere classifiedScience PolicyFOS: Clinical medicineFOS: Political science150310 Organisation and Management TheoryCardiology111799 Public Health and Health Services not elsewhere classifiedFOS: Health sciences110306 Endocrinology110308 Geriatrics and Gerontology99999 Engineering not elsewhere classifiedFOS: SociologyFOS: Economics and business111099 Nursing not elsewhere classifiedFOS: Other engineering and technologiesSociology111708 Health and Community ServicesAnthropology111702 Aged Health Care89999 Information and Computing Sciences not elsewhere classifiedFOS: Other humanities160512 Social Policy111299 Oncology and Carcinogenesis not elsewhere classified
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sj-docx-2-dhj-10.1177_20552076221074485 - Supplemental material for The role of age and digital competence on the use of online health and social car…

2022

Supplemental material, sj-docx-2-dhj-10.1177_20552076221074485 for The role of age and digital competence on the use of online health and social care services: A cross-sectional population-based survey by T Heponiemi, A-M Kaihlanen, A Kouvonen, L Leemann, S Taipale and K Gluschkoff in Digital Health

FOS: Computer and information sciences200299 Cultural Studies not elsewhere classifiedScience PolicyFOS: Clinical medicineFOS: Political science150310 Organisation and Management TheoryCardiology111799 Public Health and Health Services not elsewhere classifiedFOS: Health sciences110306 Endocrinology110308 Geriatrics and Gerontology99999 Engineering not elsewhere classifiedFOS: SociologyFOS: Economics and business111099 Nursing not elsewhere classifiedFOS: Other engineering and technologiesSociology111708 Health and Community ServicesAnthropology111702 Aged Health Care89999 Information and Computing Sciences not elsewhere classifiedFOS: Other humanities160512 Social Policy111299 Oncology and Carcinogenesis not elsewhere classified
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sj-docx-1-dhj-10.1177_20552076221074485 - Supplemental material for The role of age and digital competence on the use of online health and social car…

2022

Supplemental material, sj-docx-1-dhj-10.1177_20552076221074485 for The role of age and digital competence on the use of online health and social care services: A cross-sectional population-based survey by T Heponiemi, A-M Kaihlanen, A Kouvonen, L Leemann, S Taipale and K Gluschkoff in Digital Health

FOS: Computer and information sciences200299 Cultural Studies not elsewhere classifiedScience PolicyFOS: Clinical medicineFOS: Political science150310 Organisation and Management TheoryCardiology111799 Public Health and Health Services not elsewhere classifiedFOS: Health sciences110306 Endocrinology110308 Geriatrics and Gerontology99999 Engineering not elsewhere classifiedFOS: SociologyFOS: Economics and business111099 Nursing not elsewhere classifiedFOS: Other engineering and technologiesSociology111708 Health and Community ServicesAnthropology111702 Aged Health Care89999 Information and Computing Sciences not elsewhere classifiedFOS: Other humanities160512 Social Policy111299 Oncology and Carcinogenesis not elsewhere classified
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Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks

2020

We consider an epidemic process on adaptive activity-driven temporal networks, with adaptive behaviour modelled as a change in activity and attractiveness due to infection. By using a mean-field approach, we derive an analytical estimate of the epidemic threshold for SIS and SIR epidemic models for a general adaptive strategy, which strongly depends on the correlations between activity and attractiveness in the susceptible and infected states. We focus on strong social distancing, implementing two types of quarantine inspired by recent real case studies: an active quarantine, in which the population compensates the loss of links rewiring the ineffective connections towards non-quarantining …

FOS: Computer and information sciences2019-20 coronavirus outbreakAdaptive strategiesPhysics - Physics and SocietyComputer scienceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PopulationFOS: Physical sciencesPhysics and Society (physics.soc-ph)Computer securitycomputer.software_genre01 natural sciences010305 fluids & plasmaslaw.inventionlawActive phase0103 physical sciencesQuarantinesusceptible-infected-recovered (SIR)010306 general physicseducationCondensed Matter - Statistical MechanicsAdaptive behaviorSocial and Information Networks (cs.SI)education.field_of_studyStatistical Mechanics (cond-mat.stat-mech)Computer Science - Social and Information Networksepidemic modelsusceptible-infected-susceptible (SIS)Epidemic modelcomputer
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Combinatorial proofs of two theorems of Lutz and Stull

2021

Recently, Lutz and Stull used methods from algorithmic information theory to prove two new Marstrand-type projection theorems, concerning subsets of Euclidean space which are not assumed to be Borel, or even analytic. One of the theorems states that if $K \subset \mathbb{R}^{n}$ is any set with equal Hausdorff and packing dimensions, then $$ \dim_{\mathrm{H}} π_{e}(K) = \min\{\dim_{\mathrm{H}} K,1\} $$ for almost every $e \in S^{n - 1}$. Here $π_{e}$ stands for orthogonal projection to $\mathrm{span}(e)$. The primary purpose of this paper is to present proofs for Lutz and Stull's projection theorems which do not refer to information theoretic concepts. Instead, they will rely on combinatori…

FOS: Computer and information sciences28A80 (primary) 28A78 (secondary)General MathematicskombinatoriikkaCombinatorial proofComputational Complexity (cs.CC)01 natural sciencesCombinatoricsMathematics - Metric GeometryHausdorff and packing measures0103 physical sciencesClassical Analysis and ODEs (math.CA)FOS: Mathematics0101 mathematicsMathematicsAlgorithmic information theoryLemma (mathematics)Euclidean spacePigeonhole principle010102 general mathematicsOrthographic projectionHausdorff spaceMetric Geometry (math.MG)Projection (relational algebra)Computer Science - Computational ComplexityMathematics - Classical Analysis and ODEsfraktaalit010307 mathematical physicsmittateoria
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