Search Results - (((((((ant OR kkantis) OR mantis) OR hints) OR cantor) OR anne) OR find) OR wanting) algorithms.

Wireless Sensor and Ad Hoc Networks Under Diversified Network Scenarios. by Sarkar, Subir Kumar

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Informatics for Materials Science and Engineering : Data-driven Discovery for Accelerated Experimentation and Application. by Rajan, Krishna

Table of Contents: “…Dimensionality Reduction Methods: Algorithms, Advantages, and Disadvantages; 3.1 Principal Component Analysis (PCA); PCA Algorithm; 3.2 Isomap; Isomap Algorithm; 3.3 Locally Linear Embedding; LLE Algorithm; 3.4 Hessian LLE; hLLE Algorithm; 4. …”
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Mastering SciPy. by Blanco-Silva, Francisco J.

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Tapas in Experimental Mathematics. by Amdeberhan, Tewodros

Table of Contents: “…""Contents""; ""Preface""; ""Two dimensional directed lattice walks with boundaries""; ""Computer-assisted discovery and proof""; ""On the collection of integers that index the fixed points of maps on the space of rational functions""; ""Questionable claims found in Ramanujan's lost notebook""; ""Partition polynomials: Asymptotics and zeros""; ""Hypergeometric functions related to series acceleration formulas""; ""Using integer relations algorithms for finding relationships among functions""; ""Conjecturing the optimal order of the components of the Li/Keiper constants""…”
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Generative design by Agkathidis, Asterios, 1974-

Table of Contents: “…Intro; 1.0 Introduction to Generative Design; 2.0 Continuous Surfaces; 3.0 Modularity and Accumulation; 4.0 Deformation and Subtraction; 5.0 Algorithmic Patterns; 6.0 Triangulation ; 7.0 Conclusion: The Digital Vs Physical Debate ; Bibliography ; Index; Picture Credits; Acknowledgements; 1.1 Design methods in architecture: A brief review; 1.2 Generative form-finding processes; 1.3 The approach of this book; 2.1 Soft mesh; 2.2 Double-curved shells; 2.3 Hyper paraboloids; 3.1 Interlocking units; 3.2 Irregular units; 4.1 Twisted block; 4.2 Porous space; 5.1 Tessellated planes…”
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Advances in time series forecasting. Volume 2

Table of Contents: “…INTRODUCTION -- CLASSICAL TIME SERIES FORECASTING MODELS -- ARTIFICIAL NEURAL NETWORKS FOR FORECASTING TIME SERIES -- A NEW ARTIFICIAL NEURAL NETWORK WITH DETERMINISTIC COMPONENTS -- APPLICATIONS -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A Fuzzy Time Series Approach Based on Genetic Algorithm with Single Analysis Process -- Ozge Cagcag Yolcu* -- INTRODUCTION -- FUZZY TIME SERIES -- RELATED METHODS -- Genetic Algorithm (GA) -- Single Multiplicative Neuron Model -- PROPOSED METHOD -- APPLICATIONS -- CONCLUSION AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Forecasting Stock Exchanges with Fuzzy Time Series Approach Based on Markov Chain Transition Matrix -- Cagdas Hakan Aladag1,* and Hilal Guney2 -- INTRODUCTION -- FUZZY TIME SERIES -- TSAUR 'S FUZZY TIME SERIES MARKOV CHAIN MODEL -- THE IMPLEMENTATION -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New High Order Multivariate Fuzzy Time Series Forecasting Model -- Ufuk Yolcu* -- INTRODUCTION -- RELATED METHODOLOGY -- The Fuzzy C-Means (FCM) Clustering Method -- Single Multiplicative Neuron Model Artificial Neural Network (SMN-ANN) -- Fuzzy Time Series -- THE PROPOSED METHOD -- APPLICATIONS -- CONCLUSIONS AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Fuzzy Functions Approach for Time Series Forecasting -- Ali Z. …”
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Lectures in real geometry

Table of Contents: “…Foreword -- Introduction -- Basic algorithms in real algebraic geometry and their complexity: from Sturmâ€?…”
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Constraint Solving over Multi-valued Logics : Application to Digital Circuits.

Table of Contents: “…-- 3.2 Test Generation -- 3.3 TG Modelling Approaches and Algorithms.…”
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Infectious diseases in pediatric otolaryngology : a practical guide

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Atlas of multiparametric prostate MRI : with PI-RADS approach and anatomic-MRI-pathological correlation

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PRINCIPLES OF QUANTUM ARTIFICIAL INTELLIGENCE. by Wichert, Andreas

Table of Contents: “…Computation; 2.1 Entscheidungsproblem; 2.1.1 Cantor's diagonal argument; 2.1.2 Reductio ad absurdum; 2.2 Complexity Theory; 2.2.1 Decision problems; 2.2.2 P and NP; 2.3 Church-Turing Thesis; 2.3.1 Church-Turing-Deutsch principle; 2.4 Computers; 2.4.1 Analog computers; 2.4.2 Digital computers; 2.4.3 Von Neumann architecture; 3. …”
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Machine Learning Solutions : Expert techniques to tackle complex machine learning problems using Python. by Thanaki, Jalaj

Table of Contents: “…Cover; Copyright; Foreword; Contributors; Table of Contents; Preface; Chapter 1: Credit Risk Modeling; Introducing the problem statement; Understanding the dataset; Understanding attributes of the dataset; Data analysis; Data preprocessing; Basic data analysis followed by data preprocessing; Number of dependents; Feature engineering for the baseline model; Finding out Feature importance; Selecting machine learning algorithms; K-Nearest Neighbor (KNN); Logistic regression; AdaBoost; GradientBoosting; RandomForest; Training the baseline model; Understanding the testing matrix.…”
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Fractional order analysis : theory, methods and applications

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Elements of algebraic coding systems by Rocha, Valdemar C. da, 1947-

Table of Contents: “…Constructing f-reducing polynomials -- 7.1 Introduction -- 7.2 Factoring polynomials over large finite fields -- 7.2.1 Resultant -- 7.2.2 Algorithm for factorization based on the resultant -- 7.2.3 The Zassenhaus algorithm -- 7.3 Finding roots of polynomials over finite fields -- 7.3.1 Finding roots when p is large -- 7.3.2 Finding roots when q = pm is large but p is small -- 7.4 Problems with solutions.…”
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Pulmonary arterial hypertension : diagnosis and evidence-based treatment

Table of Contents: “…Combination therapy in pulmonary arterial hypertension / Anne Keogh and Marius Hoeper -- Interventional and surgical modalities of treatment for pulmonary arterial hypertension / Julio Sandoval and Ramona Doyle -- End points and clinical trial design in pulmonary arterial hypertension : clinical and regulatory perspectives / Andrew J. …”
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Stairs 2006 : Proceedings of the Third Starting AI Researchers' Symposium

Table of Contents: “…Binarization Algorithms for Approximate Updating in Credal NetsOn Generalizing the AGM Postulates; The Two-Variable Situation Calculus; Base Belief Change and Optimized Recovery; Unsupervised Word Sense Disambiguation Using the WWW; Relational Descriptive Analysis of Gene Expression Data; Solving Fuzzy PERT Using Gradual Real Numbers; Approaches to Efficient Resource-Constrained Project Rescheduling; A Comparison of Web Service Interface Similarity Measures; Finding Alternatives Web Services to Parry Breakdowns; Posters; Smart Ride Seeker Introductory Plan…”
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Regulatory genomics : proceedings of the 3rd annual RECOMB workshop : National University of Singapore, Singapore 17-18 July 2006

Table of Contents: “…Redundancy elimination in motif discovery algorithms / H. Leung and F. Chin. GAMOT: an efficient genetic algorithm for finding challenging motifs in DNA sequences / N. …”
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Advances in Chemical Physics, Quantum Information and Computation for Chemistry. by Dinner, Aaron R.

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Solving polynomial equation systems. I, The Kronecker-Duval philosophy by Mora, Teo

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Ieee series on digital & mobile communication : fundamentals of convolutional coding (2nd edition). by Johannesson, Rolf; Zigangirov, Kamil Sh

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