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161
Java programming interviews exposed
Published 2014Table of Contents: “…Chapter 18: Useful LibrariesRemoving Boilerplate Code with Apache Commons; Developing with Guava Collections; Using Joda Time; Summary; Chapter 19: Developing with Build Tools; Building Applications with Maven; Ant; Summary; Chapter 20: Android; Basics; User Interface; Persistence; Android Hardware; Summary; Appendix: Introducing Scala; Scala Basics; Functions as Values; Immutability; Summary; Index.…”
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162
Big Data, IoT, and Machine Learning : Tools and Applications.
Published 2020Table of Contents: “…Chapter 3 Reviews Analysis of Apple Store Applications Using Supervised Machine Learning -- 3.1 Introduction -- 3.2 Literature Review -- 3.2.1 Machine Learning Algorithms -- 3.2.2 Feature Extraction Algorithms -- 3.3 Proposed Methodology -- 3.3.1 Data Collection -- 3.3.2 Feature Extraction -- 3.3.3 Data Analysis and Sentiment Analysis -- Text Processing -- 3.3.4 Text Normalisation -- 3.4 Feature Extraction Algorithm -- 3.4.1 CountVectorizer -- 3.4.2 TfidfVectorizer (TF-IDF) -- 3.5 Supervised ML Classification -- 3.6 Experiment Design -- 3.7 Experimental Results and Analysis…”
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163
Applied Parallel Computing.
Published 2012Table of Contents: “…Parallel Profilers; Chapter 5. Design of Algorithms; 5.1. Algorithm Models; 5.1.1. Master-slave; 5.1.2. …”
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164
Knowledge discovery for business information systems
Published 2001Table of Contents: “…Problem Description -- 3. The FUP Algorithm for the Insertion Only Case -- 4. The FUP Algorithm for the Deletions Only Case -- 5. …”
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165
Introduction to graph theory
Published 2009Table of Contents: “…What Is Mathematical Induction; 7.2. Graph Theory Algorithms and Their Complexity; 7.3. Answers and Hints to Selected Exercises; 7.4. …”
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166
Advanced Artificial Intelligence.
Published 2011Table of Contents: “…Applications of temporal and spatial logic; 4.7.4. Randell algorithm; Exercises; Chapter 5 Case-Based Reasoning; 5.1 Overview; 5.2 Basic Notations; 5.3 Process Model; 5.4 Case Representation; 5.4.1 Semantic Memory Unit; 5.4.2 Memory Network; 5.5 Case Indexing; 5.6 Case Retrieval; 5.7 Similarity Relations in CBR; 5.7.1 Semantic similarity; 5.7.2 Structural similarity; 5.7.3 Goal's features; 5.7.4 Individual similarity; 5.7.5 Similarity assessment; 5.8 Case Reuse; 5.9 Case Retainion; 5.10 Instance-Based Learning.…”
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167
Applied Artificial Intelligence : Proceedings of the 7th International FLINS Conference.
Published 2006Table of Contents: “…Integrated operations in arctic environments / F. wre. Can the semantic web be designed without using fuzzy logic? …”
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168
The attacker's advantage : turning uncertainty into breakthrough opportunities
Published 2015Table of Contents: “…-- Bends in the road -- Why structural uncertainty is different -- The mathematical corporation : the algorithmic revolution and the rise of the math house -- Searching for early warning signals -- Identifying the catalysts of structural change -- Seeing what catalysts see -- Tools to build perceptual acuity -- How Tata Communications expands the organization's lens -- Defining the path -- A mind-set for offense -- Kaiser Permanente's path through the turmoil in health care -- The joint practice session : transparency and coordination -- How Keurig Green Mountain adopted the joint practice session -- The what, who, and how of decision making : zeroing in on the organization's critical decision nodes -- Steering on two tracks -- Merck's quick organizational turn to offense.…”
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169
Web-based learning : men and machines - proceedings of the first international conference on web-based learning in china (icwl 2002).
Published 2002Table of Contents: “…Patterns of Web Based Learning in the Semantic Web Era ; PART THREE Tools.…”
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170
Internet+ and electronic business in China : innovation and applications
Published 2018Table of Contents: “…Emotional analysis of online reviews on e-business platforms -- Chapter 14. Semantic search of online reviews on e-business platforms -- Part IV. …”
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171
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172
Slantwise moves : games, literature, and social invention in nineteenth-century America
Published 2018Full text (MFA users only)
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173
Technologies for Engineering Manufacturing Systems Control in Closed Loop.
Published 2013Table of Contents: “…Intro; 1 Introduction; 2 Basic Principles; 2.1 Technologies for studying Behavior; 2.2 Plants; 2.3 Controllers; 2.3.1 IEC 61131-3; 2.3.2 IEC 61499-1; 2.4 System Models; 2.4.1 Syntax; 2.4.2 Semantics; 2.5 Basics of Specifications; 2.5.1 Computation Tree Logic; 2.5.2 Extended Computation Tree Logic; 2.5.3 Timed Computation Tree Logic; 2.5.4 Symbolic Timing Diagrams; 2.6 Closed-Loop Composition; 2.7 Model Checking; 2.7.1 General Remarks; 2.7.2 Model Checking Algorithm; 2.8 Summary; 3 Formal Modeling of Plant, Controller, and the Closed Loop; 3.1 Demonstration Example; 3.2 Formal Plant Modeling.…”
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174
Problem-based learning and proprioception
Published 2018Table of Contents: “…4.2 Connectionism and symbolic systems4.3 Genetic algorithms; 4.4 Forerunners of connectionism; 4.5 Connectionist networks; 4.6 The dynamic of connectionist; 4.7 Re-emergence the new connectionism; 4.8 Transferring theory into educational practice; 4.9 Conclusion; Chapter Five; 5.1 Exploring consciousness; 5.2 Formalization of consciousness; 5.3 Reality, space and time; 5.4 Quantum consciousness and learning; 5.5 The mind and body problem; 5.6 The computer model of the mind; Chapter Six; 6.1 Some definitions of cybernetics; 6.2 The roots of cybernetics…”
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175
Computational intelligence in aerospace sciences
Published 2014Table of Contents: “…Coello Coello and Oliver Schütze ; Function landscapes and the difficulty of global optimization / Marco Locatelli ; Stochastic methods for single objective global optimization / Christian Lorenz Müller ; Uncertainty quantification in computational science / Gianluca Iaccarino ; Basic concepts of game theory for aerospace engineering applications / Lina Mallozzi -- Autonomy and robotics: Nonlinear state estimation algorithms for autonomous vehicles / Kumar Pakki Bharani Chandra and Da-Wei Gu ; Path planning algorithms in 2-D and 3-D obstacle-rich environments / Rosli Omar, Batu Pahat, Da-Wei Gu; Semantics of perception and action for symbolic reasoning in aerospace systems Sandor M. …”
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176
Neural control engineering : the emerging intersection between control theory and neuroscience
Published 2012Full text (MFA users only)
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177
Information Theory Meets Power Laws : Stochastic Processes and Language Models.
Published 2020Full text (MFA users only)
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178
International e-Conference of Computer Science 2006
Published 2007Table of Contents: “…A Computational Algorithm to Obtain the Law of the Solvable Lie Algebra of n x n Upper-Triangular MatricesWeb Data Extraction using Semantic Generators -- Integrity-Enhanced Improvements for ISO 9001 registeredOrganizations -- A Ghost Bit Based Finite Field Arithmetic for FPGAs -- A Scalable Finite Field Multiplier with Interleaving Reduction -- Intelligent Tutoring Systems and Convex Geometries -- Towards Operational Content Infrastructure -- A Computational Fusion of Wavelets and Neural Networks in a Classifier for Biomedical Applications…”
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179
STAIRS 2010 : Proceedings of the Fifth Starting AI Researchers' Symposium.
Published 2010Table of Contents: “…; Generative Structure Learning for Markov Logic Networks; Learning Fuzzy Models of User Interests in a Semantic Information Retrieval System; Ontology-Based Document and Query Representation May Improve the Effectiveness of Information Retrieval.…”
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180
Eat, cook, grow : mixing human-computer interactions with human-food interactions
Published 2014Table of Contents: “…"You don't have to be a gardener to do urban agriculture": understanding opportunities for designing interactive technologies to support urban food production / William Odom -- Augmented agriculture, algorithms, aerospace, and alimentary architectures / Jordan Geiger -- The allure of provenance: tracing food through user-generated production information / Ann Light -- Beyond gardening: a new approach to HCI and urban agriculture / Tad Hirsch -- Hungry for data: metabolic interaction from farm to fork to phenotype / Marc Tuters and Denisa Kera -- Food futures: three provocations to challenge HCI interventions / Greg Hearn and David Lindsay Wright -- Bringing technology to the dining table / Charles Spence -- List of recipes.…”
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