LEADER 00666nam0 2200229 450 001 000024578 005 20090317140432.0 100 $a20090317d1968----km-y0itay50------ba 101 1 $aita$crus 102 $aIT 105 $ay-------001yy 200 1 $a<>rivoluzione tradita$fL. D. Trotskij 210 $aRoma$cSamonà e Savelli$d[1968] 215 $a267 p.$d19 cm 225 2 $aCultura politica$v26 410 0$12001$aCultura politica 700 1$aTrockij,$bLev Davydovic$0242587 801 0$aIT$bUNIPARTHENOPE$c20090317$gRICA$2UNIMARC 912 $a000024578 951 $a052/21$b3631$cNAVA2$d2009 996 $aRivoluzione tradita$91046802 997 $aUNIPARTHENOPE LEADER 04066nam 2200661 450 001 9910463633603321 005 20200520144314.0 024 7 $a10.1515/9781400866007 035 $a(CKB)2670000000610658 035 $a(EBL)2010881 035 $a(OCoLC)907951437 035 $a(SSID)ssj0001542563 035 $a(PQKBManifestationID)16131416 035 $a(PQKBTitleCode)TC0001542563 035 $a(PQKBWorkID)12531302 035 $a(PQKB)11597342 035 $a(MiAaPQ)EBC2010881 035 $a(MdBmJHUP)muse42051 035 $a(DE-B1597)459773 035 $a(OCoLC)979954538 035 $a(DE-B1597)9781400866007 035 $a(Au-PeEL)EBL2010881 035 $a(CaPaEBR)ebr11048100 035 $a(CaONFJC)MIL772260 035 $a(EXLCZ)992670000000610658 100 $a20150507h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBirds and animals of Australia's top end $eDarwin, Kakadu, Katherine, and Kununurra /$fNick Leseberg, Iain Campbell 210 1$aPrinceton, New Jersey ;$aOxfordshire, England :$cPrinceton University Press,$d2015. 210 4$d©2015 215 $a1 online resource (273 p.) 225 1 $aWildGuides 300 $aPaperback 311 $a0-691-16146-1 311 $a1-4008-6600-6 320 $aIncludes bibliographical references and index. 327 $tFrontmatter -- $tContents -- $tAbout this book -- $tHow to use this book -- $tMaps of the Top End -- $tGeography and geology of the Top End -- $tWeather and seasons of the Top End -- $tHabitats of the Top End -- $tHow to watch wildlife -- $tWhere to find wildlife -- $tBirds of Wetlands and Beaches -- $tRaptors: Hawks, Eagles and Falcons -- $tBirds of the Forest: Mangroves and Monsoon Forests -- $tBirds of Open Areas Woodlands and Grasslands -- $tMammals -- $tReptiles and Amphibians -- $tFurther reading -- $tAcknowledgements -- $tPhoto credits -- $tIndex 330 $aOne of the most amazing and accessible wildlife-watching destinations on earth, the "Top End" of Australia's Northern Territory is home to incredible birds and animals-from gaudy Red-collared Lorikeets to sinister Estuarine Crocodiles and raucous Black Flying-foxes. With this lavishly illustrated photographic field guide, you will be able to identify the most common creatures and learn about their fascinating biology-from how Agile Wallaby mothers can pause their pregnancies to why Giant Frogs spend half the year buried underground in waterproof cocoons.The Top End stretches from the tropical city of Darwin in the north, to the savannas of Mataranka in the south, and southwest across the vast Victoria River escarpments to the Western Australian border. The region includes some of Australia's most popular and impressive tourist destinations, such as Kakadu, Litchfield, Nitmiluk, and Gregory national parks, and is visited by more than two hundred thousand tourists every year.An essential field guide for anyone visiting the Top End, this book will vastly enhance your appreciation of the region's remarkable wildlife.Features hundreds of stunning color photographsIncludes concise information on identification and preferred habitat for each speciesProvides a summary of each species' life history, including interesting habits, and suggestions on where to see itOffers valuable tips on searching for wildlife in the Top EndAn essential guide for visitors to the Top End, from Darwin south to Katherine and Kununurra, including Kakadu, Litchfield, Nitmiluk and Gregory national parks 410 0$aWildGuides. 606 $aAnimals$zAustralia 606 $aBirds$zAustralia$vIdentification 608 $aElectronic books. 615 0$aAnimals 615 0$aBirds 676 $a591.994 700 $aLeseberg$b Nick$0991601 702 $aCampbell$b Iain 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910463633603321 996 $aBirds and animals of Australia's top end$92269404 997 $aUNINA LEADER 04647nam 2200589 450 001 9910583088403321 005 20200423115102.0 010 $a0-12-802350-3 035 $a(CKB)3710000000527103 035 $a(EBL)4107705 035 $a(SSID)ssj0001682937 035 $a(PQKBManifestationID)16508413 035 $a(PQKBTitleCode)TC0001682937 035 $a(PQKBWorkID)15037241 035 $a(PQKB)11152561 035 $a(MiAaPQ)EBC4107705 035 $a(PPN)193662744 035 $a(EXLCZ)993710000000527103 100 $a20160101h20162016 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIntroduction to statistical machine learning /$fMasashi Sugiyama 210 1$aAmsterdam :$cElsevier,$d[2016] 210 4$d©2016 215 $a1 online resource (535 p.) 300 $aDescription based upon print version of record. 311 $a0-12-802121-7 320 $aIncludes bibliographical references and index. 327 $aFront Cover; Introduction to Statistical Machine Learning; Copyright; Table of Contents; Biography; Preface; 1 INTRODUCTION; 1 Statistical Machine Learning; 1.1 Types of Learning; 1.2 Examples of Machine Learning Tasks; 1.2.1 Supervised Learning; 1.2.2 Unsupervised Learning; 1.2.3 Further Topics; 1.3 Structure of This Textbook; 2 STATISTICS AND PROBABILITY; 2 Random Variables and Probability Distributions; 2.1 Mathematical Preliminaries; 2.2 Probability; 2.3 Random Variable and Probability Distribution; 2.4 Properties of Probability Distributions; 2.4.1 Expectation, Median, and Mode 327 $a2.4.2 Variance and Standard Deviation2.4.3 Skewness, Kurtosis, and Moments; 2.5 Transformation of Random Variables; 3 Examples of Discrete Probability Distributions; 3.1 Discrete Uniform Distribution; 3.2 Binomial Distribution; 3.3 Hypergeometric Distribution; 3.4 Poisson Distribution; 3.5 Negative Binomial Distribution; 3.6 Geometric Distribution; 4 Examples of Continuous Probability Distributions; 4.1 Continuous Uniform Distribution; 4.2 Normal Distribution; 4.3 Gamma Distribution, Exponential Distribution, and Chi-Squared Distribution; 4.4 Beta Distribution 327 $a4.5 Cauchy Distribution and Laplace Distribution4.6 t-Distribution and F-Distribution; 5 Multidimensional Probability Distributions; 5.1 Joint Probability Distribution; 5.2 Conditional Probability Distribution; 5.3 Contingency Table; 5.4 Bayes' Theorem; 5.5 Covariance and Correlation; 5.6 Independence; 6 Examples of Multidimensional Probability Distributions; 6.1 Multinomial Distribution; 6.2 Multivariate Normal Distribution; 6.3 Dirichlet Distribution; 6.4 Wishart Distribution; 7 Sum of Independent Random Variables; 7.1 Convolution; 7.2 Reproductive Property; 7.3 Law of Large Numbers 327 $a7.4 Central Limit Theorem8 Probability Inequalities; 8.1 Union Bound; 8.2 Inequalities for Probabilities; 8.2.1 Markov's Inequality and Chernoff's Inequality; 8.2.2 Cantelli's Inequality and Chebyshev's Inequality; 8.3 Inequalities for Expectation; 8.3.1 Jensen's Inequality; 8.3.2 Ho?lder's Inequality and Schwarz's Inequality; 8.3.3 Minkowski's Inequality; 8.3.4 Kantorovich's Inequality; 8.4 Inequalities for the Sum of Independent Random Variables; 8.4.1 Chebyshev's Inequality and Chernoff's Inequality; 8.4.2 Hoeffding's Inequality and Bernstein's Inequality; 8.4.3 Bennett's Inequality 327 $a9 Statistical Estimation9.1 Fundamentals of Statistical Estimation; 9.2 Point Estimation; 9.2.1 Parametric Density Estimation; 9.2.2 Nonparametric Density Estimation; 9.2.3 Regression and Classification; 9.2.4 Model Selection; 9.3 Interval Estimation; 9.3.1 Interval Estimation for Expectation of Normal Samples; 9.3.2 Bootstrap Confidence Interval; 9.3.3 Bayesian Credible Interval; 10 Hypothesis Testing; 10.1 Fundamentals of Hypothesis Testing; 10.2 Test for Expectation of Normal Samples; 10.3 Neyman-Pearson Lemma; 10.4 Test for Contingency Tables 327 $a10.5 Test for Difference in Expectations of Normal Samples 606 $aMachine learning$xStatistical methods 606 $aInformation science$xStatistical methods 606 $aPattern recognition systems 615 0$aMachine learning$xStatistical methods. 615 0$aInformation science$xStatistical methods. 615 0$aPattern recognition systems. 676 $a006.3/1 700 $aSugiyama$b Masashi$f1974-$0847070 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910583088403321 996 $aIntroduction to statistical machine learning$91990480 997 $aUNINA