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121
Multi-label dimensionality reduction
Published 2014Table of Contents: “…Cover; Series; Contents; Preface; Symbol Description; Chapter 1: Introduction; Chapter 2: Partial Least Squares; Chapter 3: Canonical Correlation Analysis; Chapter 4: Hypergraph Spectral Learning; Chapter 5: A Scalable Two-Stage Approach for Dimensionality Reduction; Chapter 6: A Shared-Subspace Learning Framework; Chapter 7: Joint Dimensionality Reduction and Classification; Chapter 8: Nonlinear Dimensionality Reduction: Algorithms and Applications; Appendix Proofs; References; Back Cover.…”
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122
Elements of quantum computation and quantum communication
Published 2013Table of Contents: “…; A brief history of quantum computation and quantum communication Basic Ideas of Classical and Quantum Computational Models and Complexity Classes; Elementary idea of complexity of an algorithm; Turing machine; Circuit model of computation; Computational complexity and related issues Mathematical Tools and Simple Quantum Mechanics Required for Quantum Computing; A little bit of algebra required for quantum computing; A little bit of quantum mechanics; A little more of algebra for quantum computing Quantum Gates and Quantum Circuits; Single qubit gates; Two qubit gates; Three qubit gates; A little more on quantum gates; Quantum circuits; Discussion Quantum Algorithms; Deutsch's algorithm; Deutsch.…”
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Battery management systems. Volume I, Battery modeling
Published 2015Full text (MFA users only)
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125
Differential algebra and related topics - proceedings of the international workshop.
Published 2002Table of Contents: “…6 Reduction Algorithms 7 Rosenfeld Properties of an Autoreduced Set ; 8 Coherence and Rosenfeld's Lemma ; 9 Ritt-Raudenbush Basis Theorem ; 10 Decomposition Problems ; 11 Component Theorems ; 12 The Low Power Theorem ; Appendix: Solutions and hints to selected exercises ; References…”
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127
Fast sequential Monte Carlo methods for counting and optimization
Published 2013Full text (MFA users only)
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128
Trends in Functional Programming.
Published 2007Table of Contents: “…Front Cover; Preliminary Pages; Contents; Preface; Proving Termination Using Dependent Types: The Case of Xor-Terms; Proving the Correctness of Algorithmic Debugging for Functional Programs; Systematic Synthesis of Functions; A Purely Functional Implementation of ROBDDs in Haskell; Efficient Interpretation by Transforming Data Types and Patterns to Functions; Object-Oriented Programming in Dependent Type Theory; A Sharing Analysis for SAFE; Memory Usage Improvement Using Runtime Alias Detection; A Model of Functional Programming with Dynamic Compilation and Optimization.…”
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131
Rediscovering mathematics : you do the math
Published 2011Full text (MFA users only)
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Visual Data Mining : The VisMiner Approach.
Published 2012Table of Contents: “…Regression Analysis -- The Regression Model -- Correlation and Causation -- Algorithms for Regression Analysis -- Assessing Regression Model Performance -- Model Validity -- Looking Beyond R2 -- Polynomial Regression -- Artificial Neural Networks for Regression Analysis -- Dataset Preparation -- Tutorial -- A Regression Model for Home Appraisal -- Modeling with the Right Set of Observations -- Exercise 6.1 -- ANN Modeling -- The Advantage of ANN Regression -- Top-Down Attribute Selection -- Issues in Model Interpretation -- Model Validation -- Model Application -- Summary…”
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134
DSP with Python Programming.
Published 2017Table of Contents: “…Gaussian linear case: Kalman algorithm; 3.5. Discrete finite Markov case; 4 Monte-Carlo Methods; 4.1. …”
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Theory of linear ill-posed problems and its applications
Published 2002Table of Contents: “…Basic techniques for constructing regularizing algorithms -- 3.1. Reduction to operator equations of the second kind -- 3.2. …”
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137
Scala for Machine Learning - Second Edition.
Published 2017Table of Contents: “…; Scala as a functional language; Abstraction; Higher kinded types; Functors; Monads; Scala as an object oriented language; Scala as a scalable language; Model categorization; Taxonomy of machine learning algorithms; Unsupervised learning; Clustering; Dimension reduction; Supervised learning; Generative models.…”
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138
Focus on artificial neural networks
Published 2011Table of Contents: “…ARTIFICIAL NEURAL NETWORKS (ANNS) -- 3. MICROEMULSIONS -- 4. APPLICATION OF ANNS IN THE DEVELOPMENT OF MICROEMULSION DRUG DELIVERY SYSTEMS -- 4.1. …”
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139
Industrial control systems
Published 2011Table of Contents: “…EXTRACTIVE FERMENTATION PROCESS FOR BIOETHANOL PRODUCTION ; 3. PLANT MODEL BASED ON ANN ; 3.1. ANN Configurations.…”
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140
Resources utilization and productivity enhancement case studies
Published 2015Full text (MFA users only)
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