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181
Hands-On Reinforcement Learning with Python : Master Reinforcement and Deep Reinforcement Learning Using OpenAI Gym and TensorFlow.
Published 2018Table of Contents: “…Solving the taxi problem using Q learningSARSA; Solving the taxi problem using SARSA; The difference between Q learning and SARSA; Summary; Questions; Further reading; Chapter 6: Multi-Armed Bandit Problem; The MAB problem; The epsilon-greedy policy; The softmax exploration algorithm; The upper confidence bound algorithm; The Thompson sampling algorithm; Applications of MAB; Identifying the right advertisement banner using MAB; Contextual bandits; Summary; Questions; Further reading; Chapter 7: Deep Learning Fundamentals; Artificial neurons; ANNs; Input layer; Hidden layer; Output layer.…”
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182
Hands-On Automated Machine Learning : a beginner's guide to building automated machine learning systems using AutoML and Python.
Published 2018Table of Contents: “…; Why use AutoML and how does it help?; When do you automate ML?; What will you learn?; Core components of AutoML systems; Automated feature preprocessing; Automated algorithm selection; Hyperparameter optimization; Building prototype subsystems for each component; Putting it all together as an end-to-end AutoML system; Overview of AutoML libraries; Featuretools; Auto-sklearn; MLBox; TPOT; Summary.…”
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184
Bladder Cancer : diagnosis and clinical management
Published 2015Full text (MFA users only)
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185
Constraint Solving over Multi-valued Logics : Application to Digital Circuits.
Published 2002Full text (MFA users only)
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186
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187
Computing the homology of the lambda algebra
Published 1985Table of Contents: “…Corollaries to the structure formulas""; ""2.6. Tri-grading when p is odd""; ""2.7. The endomorphism Î?""; ""2.8. …”
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188
Cystic Tumors of the Pancreas : Diagnosis and Treatment
Published 2016Full text (MFA users only)
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189
Atlas of AI : power, politics, and the planetary costs of artificial intelligence
Published 2021Full text (MFA users only)
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190
Artificial Neural Network Applications for Software Reliability Prediction.
Published 2017Full text (MFA users only)
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191
Artificial intelligent techniques for electric and hybrid electric vehicles
Published 2020Table of Contents: “…2.6 PID Controller -- 2.7 Fuzzy Control -- 2.8 Auto-Tuning Type Fuzzy PID Controller -- 2.9 Genetic Algorithm -- 2.10 Artificial Neural Network-Based Controller -- 2.11 BLDC Motor Speed Controller With ANN-Based PID Controller -- 2.11.1 PID Controller-Based on Neuro Action -- 2.11.2 ANN-Based on PID Controller -- 2.12 Analysis of Different Speed Controllers -- 2.13 Conclusion -- References -- Chapter 3 Optimization Techniques Used in Active Magnetic Bearing System for Electric Vehicles -- 3.1 Introduction -- 3.2 Basic Components of an Active Magnetic Bearing (AMB) -- 3.2.1 Electromagnet Actuator…”
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192
Data analytics and big data
Published 2018Table of Contents: “…When real time makes the difference; 4.4. What should data analytics address?…”
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193
Automated database applications testing : specification representation for automated reasoning
Published 2010Table of Contents: “…Software testing definitions. 1.4. When should testing start in the software lifecycle? …”
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194
Online engineering
Published 2009Table of Contents: “…THE COVARIANCE INTERSECTION ALGORITHM; 6. LARGEST ELLIPSOID ALGORITHM; 6.1. The Intersection Problem; 6.2. …”
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195
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196
Infectious diseases in pediatric otolaryngology : a practical guide
Published 2016Full text (MFA users only)
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197
Automatic control in power generation, distribution, and protection : proceedings of the IFAC Symposium, Pretoria, Republic of South Africa, 15-19 September 1980
Published 1981Table of Contents: “…COMPUTER AIDED DESIGN OF CONTROL ALGORITHMS…”
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198
Communicating mathematics : a conference in honor of Joseph A. Gallian's 65th birthday, July 16-19, 2007, University of Minnesota, Duluth, Minnesota
Published 2009Table of Contents: “…; ""McKay's canonical graph labeling algorithm""; ""A multiplicative deformation of the Möbius function for the poset of partitions of a multiset""…”
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199
Numerical models for submerged breakwaters : coastal hydrodynamics and morphodynamics
Published 2016Table of Contents: “…3 Literature Review and BackgroundReferences; 4 Theories and Methodologies; 4.1 Introduction; 4.2 Traditional Models for Water Waves; 4.3 New Approaches; 4.3.1 Meshless Methods; 4.3.2 Artificial Intelligence Methods; MLP Networks; Back-Propagation Algorithm; Levenberg-Marquardt Algorithm; RBF Networks; References; 5 Mathematical Modeling and Algorithm Development; 5.1 Navier-Stokes Equations; 5.2 The Turbulent Model; 5.3 Initial and Boundary Conditions; 5.4 Shallow Waters; 5.5 The Extended Mild-Slope Equation; 5.6 Boussinesq Equations; 5.7 Smoothed Particles Hydrodynamics.…”
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200
Elements of algebraic coding systems
Published 2014Table 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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