Search Results - (((((((kant OR mantis) OR when) OR partei) OR cantor) OR anne) OR when) OR carter) algorithms.

Fast finance : does the financial world allow social loafing? by Williams, Gervais

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Google's PageRank and Beyond - the Science of Search Engine Rankings. by Langville, Amy N., Meyer, Carl D.

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Handbook of exchange rates

Table of Contents: “…Statistical and Economic Methods for Evaluating Exchange Rate Predictability -- 9. When Are Pooled Panel-Data Regression Forecasts of Exchange Rates More Accurate than the Time-Series Regression Forecasts? …”
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Conversations on violence : an anthology

Table of Contents: “…The Expulsion of Humanity -- Saskia Sassen -- 11. When Art is Born of Resistance -- Martha Rosler -- 12. …”
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A Statistical approach to genetic epidemiology : concepts and applications, with an e-Learning Platform. by Ziegler, Andreas, 1966-

Table of Contents: “…; 4.3 HOW SHOULD GENOTYPING ERRORS BE CHECKED IN POPULATION-BASED STUDIES USING THE HARDY-WEINBERG EQUILIBRIUM?; Algorithm 4.1.; Algorithm 4.2.; Algorithm 4.3.; 4.4 HOW CAN GENOTYPING ERRORS BE DETECTED IN HIGH-THROUGHPUT GENOTYPING STUDIES?…”
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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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Statistical analysis techniques in particle physics : fits, density estimation and supervised learning by Narsky, Ilya, Porter, Frank Clifford

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Microscopic Approaches to Quantum Liquids in Confined Geometries. by Krotscheck, Eckhard

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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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W.C. McKern and the Midwestern Taxonomic Method by Lyman, R. Lee

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Professional Practice in Paramedic, Emergency and Urgent Care. by Nixon, Valerie

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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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Fuzzy multi-criteria decision making : theory and applications with recent developments

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A Case for the Existence of God. by Overman, Dean L.

Table of Contents: “…A CASE FOR THE EXISTENCE OF GOD; ABRIDGED CONTENTS; CONTENTS; FOREWORD; PREFACE; ACKNOWLEDGMENTS; Chapter 01: INTRODUCTION; Chapter 02: THE QUESTION OF GOD'S EXISTENCE; Chapter 03: MANY GENERATIONS OF PHILOSOPHERS HAVE MADE THE MISTAKE OF ASSUMING HUME AND KANT'S OBJECTIONS DISPOSED OF THE COSMOLOGICAL ARGUMENT; Chapter 04: A UNIVERSE WITH AN INFINITE PAST WOULD STILL REQUIRE A NECESSARY BEING TO SUSTAIN ITS EXISTENCE; Chapter 05: BECAUSE THE UNIVERSE (OR MULTIVERSE) HAD A BEGINNING, IT IS CONTINGENT AND HAS A CAUSE FOR ITS COMING INTO EXISTENCE.…”
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Pattern Recognition in Computational Molecular Biology : Techniques and Approaches by Elloumi, Mourad, Iliopoulos, Costas, Wang, Jason T. L., Zomaya, Albert Y.

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Handbook of power systems. II

Table of Contents: “…Cover -- Handbook of Power Systems II13; -- Preface of Volume II13; -- Contents of Volume II13; -- Contents13; of Volume I -- Contributors13; -- Part I Transmission and Distribution Modeling -- Recent Developments in Optimal Power Flow Modeling Techniques -- 1 Introduction -- 2 Physical Network Representation -- 3 Operational Constraints -- 4 Tap-Changing and Regulating Transformers -- 5 FACTS Devices -- 6 OPF Objective Functions and Formulations -- 7 OPF Solution Techniques -- 8 Numerical Examples -- 9 Conclusion -- References -- Algorithms for Finding Optimal Flows in Dynamic Networks -- 1 Optimal Dynamic Network Flow Models and Power Industry -- 2 Minimum Cost Dynamic Single: Commodity Flow Problems and Algorithms for Their Solving -- 3 Minimum Cost Dynamic Multicommodity Flow Problems and Algorithms for Their Solving -- References -- Signal Processing for Improving Power Quality -- 1 Wavelet-based Algorithm for Harmonics Analysis -- 2 Wavelet-based Algorithm for Nonstationary Power System Waveform Analysis -- 3 Wavelet-GA-ANN Based Hybrid Model for Accurate Prediction of Short-term Load Forecast -- 4 Conclusions -- References -- Transmission Valuation Analysis based on Real Options with Price Spikes -- 1 Introduction -- 2 Behavior of Commodity Prices -- 3 Valuation of Obligations and Options -- 4 Valuation in the Presence of Spikes -- 5 Conclusions -- References -- Part II Forecasting in Energy -- Short-term Forecasting in Power Systems: A Guided Tour -- 1 Introduction -- 2 Electricity Load Forecasting -- 3 Wind Power Forecasting -- 4 Forecasting Electricity Prices -- 5 Conclusions -- References -- State-of-the-Art of Electricity Price Forecasting in a Grid Environment -- 1 Introduction -- 2 State-of-the-Art Techniques of Electricity Price Forecasting -- 3 Input8211;Output Specifications of Electricity Price Forecasting Techniques -- 4 Comparing Existing Statistical Techniques for Electricity Price Forecasting -- 5 Implementations of Electricity Price Forecasting in a Grid Environment -- 6 Conclusions -- References -- Modelling the Structure of Long-Term Electricity Forward Prices at Nord Pool -- 1 Introduction -- 2 Long-term Forward Price Process -- 3 Model Estimation -- 4 Conclusions -- References -- Hybrid Bottom-Up/Top-Down Modeling of Prices in Deregulated Wholesale Power Markets -- 1 Introduction -- 2 Top-Down Models for Electricity Price Forecasting -- 3 Hybrid Bottom-Up/Top-Down Modeling -- 4 A Hybrid Model for the New Zealand Electricity Market -- 5 A Hybrid Model for the Australian Electricity Market -- 6 Conclusions -- References -- Part III Energy Auctions and Markets -- Agent-based Modeling and Simulation of Competitive Wholesale Electricity Markets -- 1 Introduction -- 2 Agent-based Modeling and Simulation -- 3 Behavioral Modeling -- 4 Market Modeling -- 5 Conclusions -- References -- Futures Market Trading for Electricity Producers and Retailers -- 1 Introduction: Futures Market Trading -- 2 Producer Trading -- 3 Retailer Trading -- 4 Conclusions -- References -- A Decision Support System for Generation Planning and Operation in Electricity Markets -- 1 Introduction -- 2 Long-term Stochastic Market Planning Model -- 3 Medium-term Stochastic Hydrothermal Coordination Model -- 4 Medium-term Stochastic Simulation Model -- T$29828.…”
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Machine learning for the web by Isoni, Andrea

Table of Contents: “…Preface; Introduction to Practical Machine Learning Using Python; General machine-learning concepts; Machine-learning example; Installing and importing a module (library); Preparing, manipulating and visualizing data -- NumPy, pandas and matplotlib tutorials; Using NumPy; Arrays creation; Array manipulations; Array operations; Linear algebra operations; Statistics and mathematical functions; Understanding the pandas module; Exploring data; Manipulate data; Matplotlib tutorial; Scientific libraries used in the book; When to use machine learning; Summary; Unsupervised Machine Learning.…”
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Test driven development in Ruby : a practical introduction to TDD using problem and solution domain analysis by Paranj, Bala

Table of Contents: “…Problem Domain AnalysisSolution Domain Analysis; Alternative Representations; Divide and Conquer Strategy; Designing Test Cases; Sum a List of Numbers; Sequence of Test Cases; Starter Test; Next Test ; Story Test ; Assertion; Test Driving Calculator; Canonical Test Structure; Given; When; Then; Arrange, Act, Assert; Calculator; Addition; Subtraction; Common Mistakes; Common Mistakes in the TDD Cycle; Mistakes in Step One; Mistakes in Step Two; Mistakes in Step Three; Mistakes in Step Four; Mistakes in Step Five; Base Conversion; Problem Statement; Problem Domain Analysis.…”
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Field guide to the normal newborn by Emmett, Gary A.

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Robust statistics : theory and methods (with R) by Maronna, Ricardo A.

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