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[null,"1.","Record Nr.",null,"UNINA9910208830603321"]
[null,null,"Autore",null,"Good Phillip I"]
[null,null,"Titolo",null,"Analyzing the large numbers of variables in biomedical and satellite imagery [[electronic resource] /] / Phillip I. Good"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, N.J., : Wiley, c2011"]
[null,null,"ISBN",null,"1-283-13877-8"]
[{"$nulls":4},"0-470-93725-4"]
[{"$nulls":4},"9786613138774"]
[{"$nulls":4},"0-470-93727-0"]
[{"$nulls":4},"1-118-00214-8"]
[null,null,"Descrizione fisica",null,"xii, 185 p. : ill"]
[null,null,"Disciplina",null,"006.3/12"]
[null,null,"Soggetti",null,"Data mining"]
[{"$nulls":4},"Mathematical statistics"]
[{"$nulls":4},"Biomedical engineering - Data processing"]
[{"$nulls":4},"Remote sensing - Data processing"]
[{"$nulls":4},"Functions of several complex variables"]
[{"$nulls":4},"R (Computer program language)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and indexes."]
[null,null,"Nota di contenuto",null,"; Machine generated contents note: ; 1. Very Large Arrays -- ; 1.1. Applications -- ; 1.2. Problems -- ; 1.3. Solutions -- ; 2. Permutation Tests -- ; 2.1. Two-Sample Comparison -- ; 2.1.1. Blocks -- ; 2.2. k-Sample Comparison -- ; 2.3. Computing The p-Value -- ; 2.3.1. Monte Carlo Method -- ; 2.3.2. An R Program -- ; 2.4. Multiple-Variable Comparisons -- ; 2.4.1. Euclidean Distance Matrix Analysis -- ; 2.4.2. Hotelling's T2 -- ; 2.4.3. Mantel's U -- ; 2.4.4. Combining Univariate Tests -- ; 2.4.5. Gene Set Enrichment Analysis -- ; 2.5. Categorical Data -- ; 2.6. Software -- ; 2.7. Summary -- ; 3. Applying the Permutation Test -- ; 3.1. Which Variables Should Be Included? -- ; 3.2. Single-Value Test Statistics -- ; 3.2.1. Categorical Data -- ; 3.2.2. A Multivariate Comparison Based on a Summary Statistic -- ; 3.2.3. A Multivariate Comparison Based on Variants of Hotelling's T2"]
[{"$nulls":4},"; 3.2.4. Adjusting for Covariates -- ; 3.2.5. Pre-Post Comparisons -- ; 3.2.6. Choosing a Statistic: Time-Course Microarrays -- ; 3.3. Recommended Approaches -- ; 3.4. To Learn More -- ; 4. Biological "]
[{"$nulls":4},"Background -- ; 4.1. Medical Imaging -- ; 4.1.1. Ultrasound -- ; 4.1.2. EEG/MEG -- ; 4.1.3. Magnetic Resonance Imaging -- ; 4.1.3.1. MRI -- ; 4.1.3.2. fMRI -- ; 4.1.4. Positron Emission Tomography -- ; 4.2. Microarrays -- ; 4.3. To Learn More -- ; 5. Multiple Tests -- ; 5.1. Reducing the Number of Hypotheses to Be Tested -- ; 5.1.1. Normalization -- ; 5.1.2. Selection Methods -- ; 5.1.2.1. Univariate Statistics -- ; 5.1.2.2. Which Statistic? -- ; 5.1.2.3. Heuristic Methods -- ; 5.1.2.4. Which Method? -- ; 5.2. Controlling the Over All Error Rate -- ; 5.2.1. An Example: Analyzing Data from Microarrays -- ; 5.3. Controlling the False Discovery Rate -- ; 5.3.1. An Example: Analyzing Time-Course Data from Microarrays -- ; 5.4. Gene Set Enrichment Analysis"]
[{"$nulls":4},"; 5.5. Software for Performing Multiple Simultaneous Tests -- ; 5.5.1. AFNI -- ; 5.5.2. Cyber-T -- ; 5.5.3. dChip -- ; 5.5.4. ExactFDR -- ; 5.5.5. GESS -- ; 5.5.6. HaploView -- ; 5.5.7. MatLab -- ; 5.5.8. R -- ; 5.5.9. SAM -- ; 5.5.10. ParaSam -- ; 5.6. Summary -- ; 5.7. To Learn More -- ; 6. The Bootstrap -- ; 6.1. Samples and Populations -- ; 6.2. Precision of an Estimate -- ; 6.2.1. R Code -- ; 6.2.2. Applying the Bootstrap -- ; 6.2.3. Bootstrap Reproducibility Index -- ; 6.2.4. Estimation in Regression Models -- ; 6.3. Confidence Intervals -- ; 6.3.1. Testing for Equivalence -- ; 6.3.2. Parametric Bootstrap -- ; 6.3.3. Blocked Bootstrap -- ; 6.3.4. Balanced Bootstrap -- ; 6.3.5. Adjusted Bootstrap -- ; 6.3.6. Which Test? -- ; 6.4. Determining Sample Size -- ; 6.4.1. Establish a Threshold -- ; 6.5. Validation -- ; 6.5.1. Cluster Analysis -- ; 6.5.2. Correspondence Analysis -- ; 6.6. Building a Model -- ; 6.7. How Large Should The Samples Be?"]
[{"$nulls":4},"; 6.8. Summary -- ; 6.9. To Learn More -- ; 7. Classification Methods -- ; 7.1. Nearest Neighbor Methods -- ; 7.2. Discriminant Analysis -- ; 7.3. Logistic Regression -- ; 7.4. Principal Components -- ; 7.5. Naive Bayes Classifier -- ; 7.6. Heuristic Methods -- ; 7.7. Decision Trees -- ; 7.7.1. A Worked-Through Example -- ; 7.8. Which Algorithm Is Best for Your Application? -- ; 7.8.1. Some Further Comparisons -- ; 7.8.2. Validation Versus Cross-validation -- ; 7.9. Improving Diagnostic Effectiveness -- ; 7.9.1. Boosting -- ; 7.9.2. Ensemble Methods -- ; 7.9.3. Random Forests -- ; 7.10. Software for Decision Trees -- ; 7.11. Summary -- ; 8. Applying Decision Trees -- ; 8.1. Photographs -- ; 8.2. Ultrasound -- ; 8.3. MRI Images -- ; 8.4. EEGs and EMGs -- ; 8.5. Misclassification Costs -- ; 8.6. Receiver Operating Characteristic -- ; 8.7. When the Categories Are As Yet Undefined -- ; 8.7.1. Unsupervised Principal Components Applied to fMRI"]
[{"$nulls":4},"; 8.7.2. Supervised Principal Components Applied to Microarrays -- ; 8.8. Ensemble Methods -- ; 8.9. Maximally Diversified Multiple Trees -- ; 8.10. Putting It All Together -- ; 8.11. Summary -- ; 8.12. To Learn More -- Glossary of Biomedical Terminology -- Glossary of Statistical Terminology -- Appendix: An R Primer -- ; R1. Getting Started -- ; R1.1. R Functions -- ; R1.2. Vector Arithmetic -- ; R2. Store and Retrieve Data -- ; R2.1. Storing and Retrieving Files from Within R -- ; R2.2. The Tabular Format -- ; R2.3. Comma Separated Format -- ; R3. Resampling -- ; R3.1. The While Command -- ; R4. Expanding R's Capabilities -- ; R4.1. Downloading Libraries of R Functions -- ; R4.2. Programming Your Own Functions."]
[null,"2.","Record Nr.",null,"UNISA996525670903316"]
[null,null,"Titolo",null,"Chinese lexical semantics : 23rd workshop, CLSW 2022, virtual event, May 14-15, 2022, revised selected papers, Part I / / edited by Qi Su, Ge Xu, and Xiaoyan Yang"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2023]"]
[{"$nulls":4},"©2023"]
[null,null,"ISBN",null,"9783031289538"]
[{"$nulls":4},"9783031289521"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (583 pages)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 13495"]
[null,null,"Disciplina",null,"495.10143"]
[null,null,"Soggetti",null,"Chinese language - Semantics"]
[{"$nulls":4},"Computational linguistics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Divergence and Convergence in Tense and Aspect Meanings of “guo” and “le” -- A Corpus-based Study on the Syllablic Form Selection of Ancient Chinese High-frequency Nouns in the Middle Ages -- On the Emergence of Positive Meaning of Xiāngdānɡ from the Structure of Xiāngdānɡ de NP -- Active and Passive Expressions of Tolerance: A Semantic Analysis of the Near-Synonyms ren3 and shou4 Based on MARVS Theory -- A Study of Nominal Verbs in Modern Chinese Based on Shannon-Wiener Index——Case Studies on “Bianhua” Words -- The Causativity of Preposition “Dui (for)” -- Construction of Grammar Collocation Library for International Chinese Language Education and Difficulty Standard -- The Study of Causal Nouns in Mandarin Chinese: From the Perspective of Syntactic Realization and Pragmatic Function -- Construction of Effective News Corpus in Commodity Futures Domain -- MSDD: A Multimodal Language Dataset for Stance Detection -- Novel Lexical Semantic Change and Interactivization -- The Phonetic Types, Mechanism, and Motivation of Syllable Contraction of \"numerals + ge\" in Henan dialect -- A Hybrid Account of the Expressivity in Mandarin Nominals -- The Relationship Between the Emphatic Meaning and the Adversative Meaning from the Perspective of Linguistic Typology: The Cases of Chinese Kě and Jiùshì -- Research on the Semantic Map of Multifunctional Morpheme Cong -- Aspectuality and Subjectivity of Le in Chinese Conditionals -- Research on the "]
[{"$nulls":4},"Phenomenon of Tone Sandhi of BB in ABB-Pattern Adjectives from the Perspective of Coercion Effects -- Extracting Concepts and Semantic Associates for Teaching Tang 300 Poems to L2 Learners -- Tracing Lexical Semantic Change with Distributional Semantics: Change and Stability -- A Study on the Recovery of Omitted Constituents in Chinese Elliptical Sentences -- Recognition of Disyllabic Intransitive Verbs and Study on Disyllabic Intransitive Verbs Taking Objects Based on Structure Retrieval -- The Introduction of Positive Position in “Vwish +VPneg” and its Pragmatic Consequences -- A Grammatical Study of Chinese Counter-Expectation Marker “Jìngrán” —in Comparison with Korean Counter-Expectation Marker “-tani” -- Variations in Alternative Pattern of Light Verb Construction between Taiwan and Mainland Mandarin -- Responses to Questions in Mandarin Chinese -- Semantic Dependency Analysis of Special Sentence Patterns in Ancient Chinese -- A Study on the Selection Mechanism of the Chinese Loan Words of the Same Signified with Different Signifiers -- A Case Study on Scalar Ordering Relations of Chinese Adverbs -- Study of Chinese Words in Diachronic Corpus of Newspaper -- The Similarities and Differences of Thanks Responses between Native Speakers and Mandarin Teaching Materials in Taiwan -- A Study on the Positional Relationship Between Preposition-Object Structures and Predicate Components in Mozi Based on Corpus -- The First Step to Resolve the Centennial Controversy over the Adverb Dōu: Classification -- The Syntactic Features of Chinese Verbs of Saluting -- The Semantic Roles of Chinese Verbs of Saluting -- A Study on the Context Mode of the Linking Verb “Shi” Addressing a New Branch Naming -- Taking Comparison between the Degree Adverbs in Northeast Dialect and Taiwanese Mandarin from Three Perspectives — Taking Lǎo and Chāo as Examples -- Exploring the Semantic Differences of Motion Verbs from the Perspective of Image Schema — Take the Verbs \"lā\", \" zhuài \" and \"tuō\" as An Example -- A Corpus-Based Study of the Usage of Chinese Core Separable Words in the Use of Language -- Mandarin Analytic Causative Constructions with Shǐ and Ràng: A Usage-based Collostructional Analysis -- Topic and Focus in the Left Periphery of Old Xiang: Syntactic Cartography and Semantic Constraints."]
[null,null,null,"Sommario/riassunto","The two-volume set LNAI 13495 and LNAI 13496, constitute the refereed post-workshop proceedings of the 23rd Chinese Lexical Semantics Workshop, CLSW 2022, held as a virtual event, during May 14-15, 2022. In total the two-volume set includes 39 full papers and 19 short papers which were carefully reviewed and selected from 214 submissions. They are organized in the following topical sections: lexical semantics; corpus linguistics; general linguistics, lexical resources; computational linguistics, applications of natural language processing."]