Search Results - "Categorization"
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Learning Statistics with R A tutorial for psychology students and other beginners
Published 2018Table of Contents: “…Statistical tools -- Chapter 12: Categorical data analysis -- Chapter 13: Comparing two means -- Chapter 14: Comparing several means (one-way ANOVA) -- Chapter 15: Linear regression -- Chapter 16: Factorial ANOVA -- VI. …”
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1295
Grammatical theory From transformational grammar to constraint-based approaches
Published 2019Table of Contents: “…1 Introduction and basic terms -- 2 Phrase structure grammar -- 3 Transformational Grammar - Government & Binding -- 4 Transformational Grammar - Minimalism -- 5 Generalized Phrase Structure Grammar -- 6 Feature descriptions -- 7 Lexical Functional Grammar -- 8 Categorical Grammar -- 9 Head-Driven Phrase Structure Grammar -- 10 Construction Grammar -- 11 Dependency Grammar -- 12 Tree Adjoining Grammar -- 13 The Innateness of linguistic knowledge -- 14 Generative-enumerative vs. model-theoretic approaches -- 15 The competence/performance distinction -- 16 Language acquisition -- 17 Generative capacity and grammar formalisms -- 18 Binary branching, locality, and recursion -- 19 Empty elements -- 20 Extraction, scrambling, and passive: one or several descriptive devices? …”
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1296
Multivariate Statistical Machine Learning Methods for Genomic Prediction
Published 2022Table of Contents: “…Preface -- Chapter 1 -- General elements of genomic selection and statistical learning -- Chapter. 2 -- Preprocessing tools for data preparation -- Chapter. 3 -- Elements for building supervised statistical machine learning models -- Chapter. 4 -- Overfitting, model tuning and evaluation of prediction performance -- Chapter. 5 -- Linear Mixed Models -- Chapter. 6 -- Bayesian Genomic Linear Regression -- Chapter. 7 -- Bayesian and classical prediction models for categorical and count data -- Chapter. 8 -- Reproducing Kernel Hilbert Spaces Regression and Classification Methods -- Chapter. 9 -- Support vector machines and support vector regression -- Chapter. 10 -- Fundamentals of artificial neural networks and deep learning -- Chapter. 11 -- Artificial neural networks and deep learning for genomic prediction of continuous outcomes -- Chapter. 12 -- Artificial neural networks and deep learning for genomic prediction of binary, ordinal and mixed outcomes -- Chapter. 13 -- Convolutional neural networks -- Chapter. 14 -- Functional regression -- Chapter. 15 -- Random forest for genomic prediction.…”
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Programming Languages and Systems 31st European Symposium on Programming, ESOP 2022, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022,...
Published 2022Table of Contents: “…Categorical Foundation of Gradient-Based Learning -- Compiling Universal Probabilistic Programming Languages with Efficient Parallel Sequential Monte Carlo Inference -- Foundations for Entailment Checking in Quantitative Separation Logic -- Extracting total Amb programs from proofs -- Why3-do: The Way of Harmonious Distributed System Proofs -- Relaxed virtual memory in Armv8-A -- Verified Security for the Morello Capability-enhanced Prototype Arm Architecture -- The Trusted Computing Base of the CompCert Verified Compiler -- View-Based Owicki-Gries Reasoning for Persistent x86-TSO -- Abstraction for Crash-Resilient Objects -- Static Race Detection for Periodic Programs -- Probabilistic Total Store Ordering -- Linearity and Uniqueness: An Entente Cordiale -- A Framework for Substructural Type Systems -- A Dependent Dependency Calculus -- Polarized Subtyping -- Structured Handling of Scoped Effects -- Region-based Resource Management and Lexical Exception Handlers in Continuation-Passing Style -- A Predicate Transformer for Choreographies -- Comparing the expressiveness of the -calculus and CCS -- Concurrent NetKAT.…”
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