LEADER 01422nam a2200277 i 4500 001 991002442879707536 005 20020503165313.0 008 960604s1991 at ||| | ger 035 $ab1036531x-39ule_inst 035 $aEXGIL103971$9ExL 040 $aBiblioteca Interfacoltà$bita 100 1 $aDharmottara$0467371 245 10$aDharmottaras kurze untersuchung der gultigkeit einer erkenntnis Laghupramanyapariksa :$bmaterialien zur definition gultiger erkenntnis in der tradition Dharmakirtis 2 :$bTibetischer text, sanskritmaterialen und ubersetzung /$cHelmut Krasser 260 $aWien :$bOsterreichische Akademie der wissenschaften,$c1991 300 $a2 v. ;$c24 cm. 490 0 $aBeitrage zur kultur-und geistesgeschichte Asiens ;$v7 490 0 $aSitzungsberichte / Osterreichische Akademie der wissenschaften, philosophisch-historische klasse ;$v578 650 4$aBuddismo 650 4$aDharmakirti. Pramanaviniscaya$xCommenti 700 1 $aKrasser, Helmut$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0637700 907 $a.b1036531x$b21-02-17$c27-06-02 912 $a991002442879707536 945 $aLE002 Coll. 2. 93/I-II$g1$iLE002-12676N-12677N$lle002$o-$pE0.00$q-$rn$so $t0$u0$v0$w0$x0$y.i10427004$z27-06-02 996 $aDharmottaras kurze untersuchung der gultigkeit einer erkenntnis Laghupramanyapariksa$91445720 997 $aUNISALENTO 998 $ale002$b01-01-96$cm$da $e-$fger$gat $h0$i1 LEADER 02219oam 2200505 450 001 9910137538703321 005 20230621135327.0 010 $a9782889195350$b(eBook) 035 $a(CKB)3710000000569638 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/39880 035 $a(EXLCZ)993710000000569638 100 $a20191103h20152015 fy| 0 101 0 $aeng 135 $aur||#---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$a2015$eWhich new directions for Alzheimer's disease? /$fedited by Ludovic Martin 210 $cFrontiers Media SA$d2015 210 1$a[Lausanne, Switzerland] :$cFrontiers Media SA,$d[2015] 210 4$d©2015 215 $a1 online resource (122 pages) $cillustrations (some colour); digital file(s) 225 1 $aFrontiers Research Topics 311 08$aPrint version: Martin, Ludovic. 2015: which new directions for Alzheimer's disease? [Place of publication not identified] : Frontiers Media SA, 2015 288919535X 320 $aIncludes bibliographical references. 330 $aIn this Research Topic, we wish to summarize and review the etiology of AD and the related therapeutic opportunities for the next decades. To fully understand the precise mechanisms underlying AD, research findings, reviews, new insights and new approaches include AD and related tauopathies, tau phosphorylation balance, pharmacological compounds against AD, neuroprotection strategies and new therapeutic ways but also risk factors for AD and AD genetic information are included in this issue. 410 0$aFrontiers research topics. 517 3 $aWhich new directions for Alzheimer's disease? 606 $aAlzheimer's disease$xResearch 610 $akinase inhibitors 610 $aTherapeutics 610 $atau 610 $aTREM2 610 $aAlzheimers disease 610 $amicrobiome 610 $aA? peptides 615 0$aAlzheimer's disease$xResearch. 676 $a616.831 700 $aLudovic Martin$4auth$01366152 702 $aMartin$b Ludovic$f1982- 801 0$bUkMaJRU 906 $aBOOK 912 $a9910137538703321 996 $a2015$93388670 997 $aUNINA LEADER 04400nam 22007215 450 001 9910373901603321 005 20251113183335.0 010 $a981-15-1041-5 024 7 $a10.1007/978-981-15-1041-0 035 $a(CKB)4900000000505005 035 $a(DE-He213)978-981-15-1041-0 035 $a(MiAaPQ)EBC6114074 035 $a(PPN)242845193 035 $a(EXLCZ)994900000000505005 100 $a20200103d2020 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAlgorithms in Machine Learning Paradigms /$fedited by Jyotsna Kumar Mandal, Somnath Mukhopadhyay, Paramartha Dutta, Kousik Dasgupta 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (X, 195 p. 115 illus., 69 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v870 311 08$a981-15-1040-7 327 $aChapter 1. Development of Trapezoidal Hesitant-Intuitionistic Fuzzy Prioritized Operators based on Einstein Operations with their Application to Multi-Criteria Group Decision Making -- Chapter 2. Graph-based Information-Theoretic Approach for Unsupervised Feature Selection -- Chapter 3. Fact based Expert System for supplier selection with ERP data -- Chapter 4. Handling Seasonal Pattern and Prediction using Fuzzy Time Series Model -- Chapter 5. Automatic Classification of Fruits and Vegetables: A Texture-based Approach -- Chapter 6. Deep Learning based Early Sign Detection Model for Proliferative Diabetic Retinopathy in Neovascularization at the Disc -- Chapter 7. A Linear Regression Based Resource Utilization Prediction Policy For Live Migration in Cloud Computing -- Chapter 8. Tracking changing human emotions from facial image sequence by landmark triangulation: A incircle-circumcircle duo approach -- Chapter 9. Recognizing Human Emotions from Facial Images by Landmark Triangulation: ACombined Circumcenter-Incenter-Centroid Trio Feature Based Method -- Chapter 10. Stable neighbor nodes prediction with multivariate analysis in mobile ad hoc network using RNN model -- Chapter 11. A New Approach for Optimizing Initial Parameters of Lorenz Attractor and its application in PRNG. 330 $aThis book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence-based learning. . 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v870 606 $aEngineering mathematics 606 $aEngineering$xData processing 606 $aMachine learning 606 $aComputer vision 606 $aNatural language processing (Computer science) 606 $aSignal processing 606 $aMathematical and Computational Engineering Applications 606 $aMachine Learning 606 $aComputer Vision 606 $aNatural Language Processing (NLP) 606 $aSignal, Speech and Image Processing 615 0$aEngineering mathematics. 615 0$aEngineering$xData processing. 615 0$aMachine learning. 615 0$aComputer vision. 615 0$aNatural language processing (Computer science). 615 0$aSignal processing. 615 14$aMathematical and Computational Engineering Applications. 615 24$aMachine Learning. 615 24$aComputer Vision. 615 24$aNatural Language Processing (NLP). 615 24$aSignal, Speech and Image Processing. 676 $a006.31 702 $aMandal$b Jyotsna Kumar$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMukhopadhyay$b Somnath$f1983-$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDutta$b Paramartha$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDasgupta$b Kousik$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910373901603321 996 $aAlgorithms in Machine Learning Paradigms$92506760 997 $aUNINA