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61
Tomorrow's troubles : risk, anxiety, and prudence in an age of algorithmic governance
Published 2022Full text (MFA users only)
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62
Nonlinearity, complexity and randomness in economics : towards algorithmic foundations for economics
Published 2011Table of Contents: “…Emergent Complexity in Agent-Based Computational Economics; 8. Non-Linear Dynamics, Complexity and Randomness: Algorithmic Foundations.…”
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63
TensorFlow Reinforcement Learning Quick Start Guide : Get up and Running with Training and Deploying Intelligent, Self-Learning Agents Using Python.
Published 2019Table of Contents: “…; Formulating the RL problem; The relationship between an agent and its environment; Defining the states of the agent; Defining the actions of the agent; Understanding policy, value, and advantage functions; Identifying episodes; Identifying reward functions and the concept of discounted rewards; Rewards; Learning the Markov decision process ; Defining the Bellman equation; On-policy versus off-policy learning…”
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Ultrashort Pulse Laser Ablation of Bulk Materials Using Shaped Laser Beams.
Published 2021Table of Contents: “…5 Development of an advanced programmablebeam shaping optics -- 5.1 Concept development for uniform beam shaping -- 5.2 Extension of the standard beam splitting algorithm -- 5.3 Development of the double spatial light modulatorsetup -- 5.4 Summary and outlook of the conducted opticsdevelopment -- 6 Process development using flexible beamshaping -- 6.1 Scanning ablation strategy -- 6.2 Stamping ablation strategy -- 6.3 Calculation scheme for the prediction of ablationrates -- 7 Summary and outlook -- Bibliography -- List of author's publications -- Acknowledgements…”
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Modern Big Data Architectures : A Multi-Agent Systems Perspective.
Published 2020Table of Contents: “…3.2 Scientific Data -- 3.3 Industrial Data -- 3.4 Internet of Things -- CHAPTER 4: Big Data Tasks -- 4.1 Recommender Systems -- 4.2 Search -- 4.3 Ad-tech and RTB Algorithms -- 4.4 Cross-Device Graph Generation -- 4.5 Forecasting and Prediction Systems -- 4.6 Social Media Big Data -- 4.7 Anomaly and Fraud Detection -- 4.8 New Drug Discovery -- 4.9 Smart Grid Control and Monitoring -- 4.10 IoT and Big Data Applications -- CHAPTER 5: Cloud Computing -- 5.1 Cloud Enabled Architectures -- 5.2 Agents and the Cloud -- CHAPTER 6: Big Data Architectures -- 6.1 Big Data Computation Models…”
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67
Handbook of dermatology : a practical manual
Published 2009Full text (MFA users only)
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68
Dynamics in human and primate societies : agent-based modeling of social and spatial processes
Published 2000Full text (MFA users only)
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69
Frequency-domain analysis and design of distributed control systems
Published 2012Table of Contents: “…Congestion Control: Model and Algorithms --…”
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70
Evaluation and management for infectious diseases and dermatologic disorders
Published 2017Full text (MFA users only)
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71
Dermatologic principles and practice in oncology : conditions of the skin, hair, and nails in cancer patients
Published 2013Table of Contents: “…Borovicka, Jennifer R.S. Gordon, Ann Cameron Haley, Nicole E. Larson and Dennis P. …”
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The AI book : the artificial intelligence handbook for investors, entrepreneurs and FinTech visionaries
Published 2020Table of Contents: “…The AI Trends That Will Shape Winning Businesses. Mastering the AI Talent Transformation: Present and Future. …”
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73
Data Mining for Business Analytics : Concepts, Techniques, and Applications with XLMiner.
Published 2016Full text (MFA users only)
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Low-Frequency Electromagnetic Modeling for Electrical and Biological Systems Using MATLAB.
Published 2015Full text (MFA users only)
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76
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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Pediatric Sensorineural Hearing Loss : Clinical Diagnosis and Management.
Published 2017Full text (MFA users only)
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Machine learning and cognitive computing for mobile communications and wireless networks
Published 2020Full text (MFA users only)
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