LEADER 04748nam 2200541 450 001 9910467011103321 005 20180726193801.0 035 $a(CKB)4100000005117727 035 $a(DLC) 2018032780 035 $a(MiAaPQ)EBC5455383 035 $a(EXLCZ)994100000005117727 100 $a20181015d2018 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cn$2rdamedia 183 $anc$2rdacarrier 200 00$aTense, aspect, modality, and evidentiality $ecrosslinguistic perspectives /$fedited by Dalila Ayoun, Agne?s Celle, Laure Lansari 210 1$aAmsterdam ;$aPhiladelphia :$cJohn Benjamins Publishing Company,$d[2018] 210 4$dİ2018 215 $a1 online resource 225 1 $aStudies in language companion series (SLCS) ;$vVolume 197 311 $a90-272-0096-3 311 $a90-272-6390-6 320 $aIncludes bibliographical references and index. 327 $aIntroduction: On the gradience of TAM-E categories / Dalila Ayoun, Agne?s Celle and Laure Lansari -- A quantitative perspective on modality and future tense in French and German / Annalena Hu?tsch -- The temporal uses of French devoir and Estonian pidama ("must") / Anu Treikelder and Marri Amon -- The competition between the present conditional and the prospective imperfect in French over the centuries: First results / Jacques Bres, Sascha Diwersy and Giancarlo Luxardo -- Evidentiality and the TAM systems in English and Spanish: A cognitive and cross-linguistic perspective / Juana I. Mari?n Arrese -- Expressing sources of information, knowledge and belief in English and Spanish informative financial texts / Marta Carretero and Yolanda Berdasco-Gancedo -- Evidentiality and epistemic modality in Old Catalan: A diachronic cognitive approach to the semantics of modal verbs / Andreu Senti? -- "I think": An enunciative and corpus-based perspective / Graham Ranger -- Embedding evidence in Tagalog and German: On two types of evidentials / Jennifer Tan and Johannes Mursell -- Questions as indirect speech acts in surprise contexts / Agne?s Celle -- Non-finiteness, complementation and evidentiality: The Lithuanian Accusativus cum Participio in a cross-linguistic perspective / Aurelija Usoniene, Nigel Vincent -- The perfect in Avar and Andi: Cross-linguistic variation among two closely-related East Caucasian languages / Samira Verhees -- The different grammars of event singularisation: A cross-linguistic corpus study / Eric Corre -- Phraseological usage patterns of past tenses: A corpus-driven look on French passe? compose? and imparfait / Oliver Wicher -- Path scales: Directed-motion verbs, prepositions and telicity in European Portuguese / Anto?nio Jose? Rodriguez Leal, Fa?tima Oliveira and Purificac?a?o Silvano. 330 $a"After an introductory chapter that provides an overview to theoretical issues in tense, aspect, modality and evidentiality, this volume presents a variety of original contributions that are firmly empirically-grounded based on elicited or corpus data, while adopting different theoretical frameworks. Thus, some chapters rely on large diachronic corpora and provide new qualitative insight on the evolution of TAM systems through quantitative methods, while others carry out a collostructional analysis of past-tensed verbs using inferential statistics to explore the lexical grammar of verbs. A common goal is to uncover semantic regularities and variation in the TAM systems of the languages under study by taking a close look at context. Such a fine-grained approach contributes to our understanding of the TAM systems from a typological perspective. The focus on well-known Indo-European languages (e.g. French, German, English, Spanish), but also on less commonly studied languages (e.g. Hungarian, Estonian, Avar, Andi, Tagalog) provides a valuable cross-linguistic perspective"--$cProvided by publisher. 410 0$aStudies in language companion series ;$vVolume 197.$x0165-7763 606 $aGrammar, Comparative and general$xTense 606 $aModality (Linguistics) 606 $aGrammar, Comparative and general$xAspect 606 $aEvidentials (Linguistics) 608 $aElectronic books. 615 0$aGrammar, Comparative and general$xTense. 615 0$aModality (Linguistics) 615 0$aGrammar, Comparative and general$xAspect. 615 0$aEvidentials (Linguistics) 676 $a415/.6 702 $aAyoun$b Dalila$f1963- 702 $aCelle$b Agne?s 702 $aLansari$b Laure 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910467011103321 996 $aTense, aspect, modality, and evidentiality$92466948 997 $aUNINA LEADER 01244nam 2200433 450 001 9910555181403321 005 20230613104603.0 010 $a1-119-42324-4 010 $a1-119-42325-2 010 $a1-119-42326-0 035 $a(CKB)4100000008402803 035 $a(MiAaPQ)EBC5784919 035 $a(EXLCZ)994100000008402803 100 $a20190624d2019 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aCardiology board review $eECG, hemodynamic, and angiographic unknowns /$fedited by George A. Stouffer 210 1$aHoboken, NJ :$cWiley Blackwell,$d2019. 215 $a1 online resource (264 pages) 311 $a1-119-42323-6 606 $aCardiology$vCase studies 606 $aHeart$xDiseases$vCase studies 608 $aExamination Question 608 $aCase Reports 615 0$aCardiology 615 0$aHeart$xDiseases 676 $a616.1209 700 $aStouffer$b George A$0863537 702 $aStouffer$b George A. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910555181403321 996 $aCardiology board review$92820683 997 $aUNINA LEADER 06899nam 2201585 450 001 9910828783803321 005 20230803203840.0 010 $a1-4008-5051-7 024 7 $a10.1515/9781400850518 035 $a(CKB)3710000000204272 035 $a(EBL)1680802 035 $a(OCoLC)885122066 035 $a(SSID)ssj0001290892 035 $a(PQKBManifestationID)11722461 035 $a(PQKBTitleCode)TC0001290892 035 $a(PQKBWorkID)11245465 035 $a(PQKB)11006836 035 $a(MiAaPQ)EBC1680802 035 $a(StDuBDS)EDZ0001756160 035 $a(DE-B1597)447402 035 $a(OCoLC)888550795 035 $a(OCoLC)979630034 035 $a(OCoLC)984676792 035 $a(OCoLC)987942185 035 $a(OCoLC)992455040 035 $a(OCoLC)999360571 035 $a(DE-B1597)9781400850518 035 $a(Au-PeEL)EBL1680802 035 $a(CaPaEBR)ebr10901474 035 $a(CaONFJC)MIL633490 035 $a(EXLCZ)993710000000204272 100 $a20140812h20142014 uy 0 101 0 $aeng 135 $aur|nu---|u||u 181 $ctxt 182 $cc 183 $acr 200 10$aHidden Markov processes $etheory and applications to biology /$fM. Vidyasagar 205 $aCourse Book 210 1$aPrinceton, New Jersey ;$aOxford, England :$cPrinceton University Press,$d2014. 210 4$dİ2014 215 $a1 online resource (303 p.) 225 1 $aPrinceton Series in Applied Mathematics 300 $aDescription based upon print version of record. 311 0 $a0-691-13315-8 320 $aIncludes bibliographical references and index. 327 $tFront matter --$tContents --$tPreface --$tPART 1. Preliminaries --$tChapter One. Introduction to Probability and Random Variables --$tChapter Two. Introduction to Information Theory --$tChapter Three. Nonnegative Matrices --$tPART 2. Hidden Markov Processes --$tChapter Four. Markov Processes --$tChapter Five. Introduction to Large Deviation Theory --$tChapter Six. Hidden Markov Processes: Basic Properties --$tChapter Seven. Hidden Markov Processes: The Complete Realization Problem --$tPART 3. Applications to Biology --$tChapter Eight. Some Applications to Computational Biology --$tChapter Nine. BLAST Theory --$tBibliography --$tIndex --$tBack matter 330 $aThis book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational biology. The book starts from first principles, so that no previous knowledge of probability is necessary. However, the work is rigorous and mathematical, making it useful to engineers and mathematicians, even those not interested in biological applications. A range of exercises is provided, including drills to familiarize the reader with concepts and more advanced problems that require deep thinking about the theory. Biological applications are taken from post-genomic biology, especially genomics and proteomics. The topics examined include standard material such as the Perron-Frobenius theorem, transient and recurrent states, hitting probabilities and hitting times, maximum likelihood estimation, the Viterbi algorithm, and the Baum-Welch algorithm. The book contains discussions of extremely useful topics not usually seen at the basic level, such as ergodicity of Markov processes, Markov Chain Monte Carlo (MCMC), information theory, and large deviation theory for both i.i.d and Markov processes. The book also presents state-of-the-art realization theory for hidden Markov models. Among biological applications, it offers an in-depth look at the BLAST (Basic Local Alignment Search Technique) algorithm, including a comprehensive explanation of the underlying theory. Other applications such as profile hidden Markov models are also explored. 410 0$aPrinceton series in applied mathematics. 606 $aComputational biology 606 $aMarkov processes 610 $aBLAST theory. 610 $aBaum?elch algorithm. 610 $aBayes' rule. 610 $aCramr's theorem. 610 $aGENSCAN algorithm. 610 $aGLIMMER algorithm. 610 $aHankel matrix. 610 $aHankel rank condition. 610 $aHoeffding's inequality. 610 $aKullback?eibler divergence. 610 $aMarkov chain. 610 $aMarkov process. 610 $aMarkov property. 610 $aMonte Carlo simulation. 610 $aPerron?robenius theorem. 610 $aProbability theory. 610 $aSanov's theorem. 610 $aViterbi algorithm. 610 $aalignment. 610 $aalpha-mixing process. 610 $aamino acids. 610 $acanonical form. 610 $acomplete realization problem. 610 $acomputational biology. 610 $aconcave function. 610 $aconditional entropy. 610 $aconvex function. 610 $aentropy function. 610 $aentropy. 610 $aergodicity. 610 $aexpected value. 610 $afinite alphabet. 610 $agene-finding problem. 610 $agenomics. 610 $ahidden Markov model. 610 $ahidden Markov processes. 610 $ahitting probability. 610 $ainformation theory. 610 $airreducible matrices. 610 $alarge deviation property. 610 $alarge deviation theory. 610 $alikelihood estimation. 610 $alikelihood. 610 $alower semi-continuous function. 610 $alower semi-continuous relaxation. 610 $amaximal segmental score. 610 $amaximum likelihood estimate. 610 $amean hitting time. 610 $amoment generating function. 610 $anonnegative matrices. 610 $anucleotide. 610 $aoptimal gapped alignment. 610 $aperiodic irreducible matrices. 610 $apost-genomic biology. 610 $aprimitive matrices. 610 $aprobability distribution. 610 $aprobability. 610 $aprotein classification. 610 $aproteomics. 610 $aquasi-realization. 610 $arandom variable. 610 $arate function. 610 $arecurrent state. 610 $arelative entropy rate. 610 $arelative entropy. 610 $asequence alignment. 610 $asequence. 610 $astate transition matrix. 610 $astationary distribution. 610 $atotal variation distance. 610 $atransient state. 610 $aultra-mixing process. 615 0$aComputational biology. 615 0$aMarkov processes. 676 $a570.285 686 $aSK 820$2rvk 700 $aVidyasagar$b M$g(Mathukumalli),$f1947-$08077 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910828783803321 996 $aHidden Markov processes$94072157 997 $aUNINA