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221
TensorFlow Reinforcement Learning Quick Start Guide : Get up and Running with Training and Deploying Intelligent, Self-Learning Agents Using Python.
Published 2019Table of Contents: “…Learning the theory behind a DQNUnderstanding target networks; Learning about replay buffer; Getting introduced to the Atari environment; Summary of Atari games; Pong; Breakout; Space Invaders; LunarLander; The Arcade Learning Environment ; Coding a DQN in TensorFlow; Using the model.py file; Using the funcs.py file; Using the dqn.py file; Evaluating the performance of the DQN on Atari Breakout; Summary; Questions; Further reading; Chapter 4: Double DQN, Dueling Architectures, and Rainbow; Technical requirements; Understanding Double DQN ; Coding DDQN and training to play Atari Breakout…”
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222
Stairs 2006 : Proceedings of the Third Starting AI Researchers' Symposium
Published 2006Table of Contents: “…A Comparison of Two Machine-Learning Techniques to Focus the Diagnosis TaskArgumentation Semantics for Temporal Defeasible Logic; NEWPAR: An Optimized Feature Selection and Weighting Schema for Category Ranking; Challenges and Solutions for Hierarchical Task Network Planning in E-Learning; Invited Talks; Artificial Intelligence and Unmanned Aerial Vehicles; Writing a Good Grant Proposal; Author Index…”
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223
Artificial intelligence : approaches, tools, and applications
Published 2011Table of Contents: “…EVOLUTIONARY COMPUTING ; 2.1. Genetic Algorithms ; 2.2. Mechanism of a Genetic Algorithm ; 3. …”
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224
Cybernetic intelligent systems
Published 2014Table of Contents: “…Cover ; Editorial advisory board ; Editorial ; Guest editorial ; HDR imaging for feature tracking in challenging visibility scenes ; A new classification strategy for human activity recognition using cost sensitive support vector machines for imbalanced data ; Coarticulation and speech synchronization in MPEG-4 based facial animation ; Semantic Category theory and Semantic Intertwine: the anathema of mathematics ; Tracking progress of African Peer Review Mechanism (APRM) using fuzzy comprehensive evaluation method.…”
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225
Essential MATLAB for engineers and scientists
Published 2010Table of Contents: “…MATLAB fundamentals -- Program design and algorithm development -- MATLAB functions data import-export utilities -- Logical vectors -- Matrices of numbers arrays of strings -- Introduction to graphics -- Loops -- Errors and pitfalls -- Function M-files -- Vectors as arrays: advanced data structures -- More graphics -- Graphical User Interfaces (GUIs) -- Dynamics systems -- Simulation -- More matrices -- Introduction to numerical methods -- Toolboxes that come with MATLAB (web chapter).…”
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226
Text mining : applications and theory
Published 2010Table of Contents: “…Automatic Keyword Extraction from Individual Documents / Stuart Rose, Dave Engel, Nick Cramer, Wendy Cowley -- Algebraic Techniques for Multilingual Document Clustering / Brett W Bader, Peter A Chew -- Content-Based Spam Email Classification using Machine-Learning Algorithms / Eric P Jiang -- Utilizing Nonnegative Matrix Factorization for Email Classification Problems / Andreas G K Janecek, Wilfried N Gansterer -- Constrained Clustering with -means Type Algorithms / Ziqiu Su, Jacob Kogan, Charles Nicholas -- Anomaly and Trend Detection. …”
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227
Advances in scalable web information integration and service : proceedings of DASFAA2007, Bangkok, Thailand, 9-12 April 2007
Published 2007Table of Contents: “…Invited session. Using semantics in XML data management / Tok Wang Ling and Gillian Dobbie. …”
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228
Information modelling and knowledge bases XXX
Published 2019Table of Contents: “…Intro; Title Page; Preface; Committees; Contents; Goal-Oriented Adaptive and Extensible Study-Process Creation with Optimal Cyclic-Learning in Graph-Structured Knowledge; A Process Calculus for Design and Modeling of Retro-Synthesis; The Discrete-Event Approach to Simulate Stochastic Multi-Product (r, Q) Inventory Control Systems; A Semantic Orthogonal Mapping Method Through Deep-Learning for Semantic Computing; Cultures in Information Systems Development; Clutter Reduction in Parallel Coordinates Using Aesthetic Criteria; Toward Manageable Data Sources…”
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229
Metaheuristics for intelligent electrical networks
Published 2017Table of Contents: “…2.2.1. Genetic algorithms2.2.2. Evolution strategies; 2.2.3. Coevolutionary algorithms; 2.2.4. …”
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230
Analysis of biological data : a soft computing approach
Published 2007Table of Contents: “…Feature selection for cancer classification using ant colony optimization and support vector machines / A. …”
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231
Java Deep Learning Projects : Implement 10 Real-World Deep Learning Applications Using Deeplearning4j and Open Source APIs.
Published 2018Table of Contents: “…; Artificial Neural Networks; Biological neurons; A brief history of ANNs; How does an ANN learn?; ANNs and the backpropagation algorithm; Forward and backward passes; Weights and biases; Weight optimization; Activation functions.…”
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232
Artificial intelligence for big data : complete guide to automating big data solutions using artificial intelligence techniques.
Published 2018Table of Contents: “…Snowball stemming -- Lancaster stemming -- Lovins stemming -- Dawson stemming -- Lemmatization -- N-grams -- Feature extraction -- One hot encoding -- TF-IDF -- CountVectorizer -- Word2Vec -- CBOW -- Skip-Gram model -- Applying NLP techniques -- Text classification -- Introduction to Naive Bayes' algorithm -- Random Forest -- Naive Bayes' text classification code example -- Implementing sentiment analysis -- Frequently asked questions -- Summary -- Chapter 7: Fuzzy Systems -- Fuzzy logic fundamentals -- Fuzzy sets and membership functions -- Attributes and notations of crisp sets -- Operations on crisp sets -- Properties of crisp sets -- Fuzzification -- Defuzzification -- Defuzzification methods -- Fuzzy inference -- ANFIS network -- Adaptive network -- ANFIS architecture and hybrid learning algorithm -- Fuzzy C-means clustering -- NEFCLASS -- Frequently asked questions -- Summary -- Chapter 8: Genetic Programming -- Genetic algorithms structure -- KEEL framework -- Encog machine learning framework -- Encog development environment setup -- Encog API structure -- Introduction to the Weka framework -- Weka Explorer features -- Preprocess -- Classify -- Attribute search with genetic algorithms in Weka -- Frequently asked questions -- Summary -- Chapter 9: Swarm Intelligence -- Swarm intelligence -- Self-organization -- Stigmergy -- Division of labor -- Advantages of collective intelligent systems -- Design principles for developing SI systems -- The particle swarm optimization model -- PSO implementation considerations -- Ant colony optimization model -- MASON Library -- MASON Layered Architecture -- Opt4J library -- Applications in big data analytics -- Handling dynamical data -- Multi-objective optimization -- Frequently asked questions -- Summary -- Chapter 10: Reinforcement Learning -- Reinforcement learning algorithms concept.…”
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233
Comprehensive Ruby Programming.
Published 2017Table of Contents: “…-- A better way -- SOLID OOP development -- the Liskov substitution principle -- The LSP definition -- Breaking down the LSP -- The LSP example -- The problem -- The LSP violation -- The fix -- SOLID OOP development -- the interface segregation principle -- The ISP definition -- The ISP code example -- Introducing the moderator -- A better way -- The result -- A caveat -- SOLID OOP development -- the dependency inversion principle -- The DIP in the real world -- The DIP definition -- The DIP code example -- Recap -- Summary -- Chapter 10: Working with the Filesystem in Ruby -- Creating a file -- Ruby File class -- Other options you can pass as the second option -- Reading files into a program using the File class -- Deleting a file -- Appending a file.…”
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234
Computational models of argument : proceedings of COMMA 2014
Published 2014Table of Contents: “…Properties of Random VAFs and Implications for Efficient AlgorithmsResolution-Based Grounded Semantics Revisited -- Decomposing Abstract Dialectical Frameworks -- A Principled Approach to the Implementation of Argumentation Models -- Combining Paraconsistent Logic with Argumentation -- Probabilistic Argument Graphs for Argumentation Lotteries -- Enthymeme Construction in Dialogues Using Shared Knowledge -- Strategies in Dialogues: A Game-Theoretic Approach -- Argumentation Logic -- Splitting Abstract Dialectical Frameworks…”
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235
Papers from the first European Workshop on Technological & Security Issues in Digital Rights Management (EuDiRights '06)
Published 2007Table of Contents: “…Cover; CONTENTS; EDITORIAL ADVISORY BOARD; The digital information war; Complementing DRM with digital watermarking: mark, search, retrieve; A class of non-linear asymptotic fingerprinting codes with 1-error; Verification algorithms for governed use of multimedia content; Toward semantics-aware management of intellectual property rights; DRM, law and technology: an American perspective; Clustering search results. …”
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236
What Every Teacher Should Know About Effective Teaching Strategies.
Published 1900Table of Contents: “…-- Why the Way We Teach is Important -- The Linguistic Modality -- The Nonlinguistic Modality -- The Affective Modality -- Semantic Memory -- Episodic Memory -- Procedural Memory -- Automatic Memory -- Emotional Memory -- Chapter 2 -- Choosing Effective Teaching Strategies for Beginning Activities -- Great Beginnings -- The Self-System…”
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237
New autonomous systems
Published 2016Table of Contents: “…Intro -- Table of Contents -- Title -- Copyright -- Introduction -- List of Algorithms -- 1 Systems and their Design -- 1.1. Modeling systems -- 1.2. …”
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238
Digital Signal Processing and Applications with the OMAP - L138 EXperimenter.
Published 2012Table of Contents: “…1.5.1 Initialization and Configuration File (L138_aic3106_init.c) -- 1.5.2 Header File (L138_aic3106_init.h) -- 1.5.3 Vector Files (vectors_intr.asm and vectors_poll.asm) -- 1.5.4 Linker Command File (linker_dsp.cmd) -- Exercises -- References -- 2. …”
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239
3D Shape Analysis : Fundamentals, Theory and Applications.
Published 2018Table of Contents: “…7.2 Problem Formulation7.3 Mathematical Tools; 7.4 Isometric Correspondence and Registration; 7.5 Nonisometric (Elastic) Correspondence and Registration; 7.6 Summary and Further Reading; 8 Semantic Correspondences; 8.1 Introduction; 8.2 Mathematical Formulation; 8.3 Graph Representation; 8.4 Energy Functions for Semantic Labeling; 8.5 Semantic Labeling; 8.6 Examples; 8.7 Summary and Further Reading; Part IV: Applications; 9 Examples of 3D Semantic Applications; 9.1 Introduction; 9.2 Semantics: Shape or Status; 9.3 Semantics: Class or Identity; 9.4 Semantics: Behavior; 9.5 Semantics: Position…”
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240
Essential MATLAB for engineers and scientists
Published 2013Table of Contents: “…Introduction -- MATLAB fundamentals -- Program design and algorithm development -- MATLAB functions and data import-export utilities -- Logical vectors -- Matrices and arrays -- Function M-files -- Loops --MATLAB graphics -- Vectors as arrays and other data structures -- Errors and pitfalls -- Dynamical systems -- Simulation -- Introduction to numerical methods -- Signal processing -- SIMULINK® toolbox -- Symbolics toolbox -- Appendix A: Syntax quick reference -- Appendix B: Command and function quick reference --Appendix C: ASCII Character Codes -- Appendix D: Solutions to selected exercises.…”
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