Search Results - (((((((ant OR kwantis) OR want) OR markant) OR cantor) OR anne) OR share) OR hints) algorithms.

Experiencing architecture in the nineteenth century : buildings and society in the modern age

Table of Contents: “…'The pressing public want of the age': The arrival of the grand hotel'Bitter competition in the London hotel world': The problem of publicity; 'A wealthy man's private mansion': The assurance of exclusivity; The 'spirit of the time': Cosmopolitanism and heterosociability; Conclusion; Chapter 10: 'The fullest fountain of advancing civilization': Experiencing Anthony Trollope's House of Commons, 1852-82; Experiences of Parliament; Progressive architecture; A political theatre; Conclusion: Reading experiences.…”
Full text (MFA users only)

Java Deep Learning Projects : Implement 10 Real-World Deep Learning Applications Using Deeplearning4j and Open Source APIs. by Karim, Rezaul

Table 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.…”
Full text (MFA users only)

Emerging engineering approaches and applications : selected, peer reviewed papers from the 2011 International Conference on Information Engineering for Mechanics and Materials, Aug...

Full text (MFA users only)

Optimization advances in electric power systems

Table of Contents: “…Unreliability Costs -- 3.5. Proposed Algorithms -- 3.5.1. ES and TS Algorithms -- 3.5.2. …”
Full text (MFA users only)

Integrated and collaborative product development environment : technologies and implementations by Li, W. D.

Table of Contents: “…Intelligent Optimisation of Process Planning; 5.1 Intelligent Optimisation Strategies for CAPP Systems; 5.2 Knowledge Representation of Process Plans; 5.2.1 Process plan representation; 5.2.2 Machining cost criteria for process plans; 5.2.3 Precedence constraints; 5.3 A Hybrid GA/SA-based Optimisation Method; 5.3.1 Overview of the algorithm; 5.3.2 Genetic algorithm -- phase 1; 5.3.3 Simulated annealing algorithm -- phase 2; 5.3.4 Constraint handling algorithm.…”
Full text (MFA users only)

Principles of Quantum Computation and Information, Volume I : Basic Concepts. by Casati, Giulio, Strini, Giuliano

Full text (MFA users only)

Python unlocked : become more fluent in Python--learn strategies and techniques for smart and high-performance Python programming by Tigeraniya, Arun

Full text (MFA users only)

Java Data Mining - Strategy, Standard, and Practice : a Practical Guide for architecture, design, and implementation. by Hornick, Mark F.

Full text (MFA users only)

Delphi High Performance : Build fast Delphi applications using concurrency, parallel programming and memory management. by Gabrijelčič, Primož

Table of Contents: “…; Different types of speed; Algorithm complexity; Big O and Delphi data structures; Data structures in practice; Mr. …”
Full text (MFA users only)

The bitcoin big bang : how alternative currencies are about to change the world by Kelly, Brian, 1971-

Table of Contents: “…; What Is Cryptography?; Still Want to Be a Miner?; Do We Need Another Bitcoin?; 7 Nautiluscoin-0 to 1 Million in 60 Days; Creating the Coin; Did It Work?…”
Full text (MFA users only)

Big Data and HPC. by Grandinetti, L.

Table of Contents: “…Reliability-Aware Voltage Scaling of Multicore Processors in Dark Silicon EraTime Collection: An Abstraction for Shared Objects in Parallel Programming; Parallel and Distributed Analysis of Microarray Data; Extracting Distributed Architecture from Source Code Using an Evolutionary Approach; An Architectural Approach to Grid Provisioning; Subject Index; Author Index.…”
Full text (MFA users only)

Artificial intelligence for big data : complete guide to automating big data solutions using artificial intelligence techniques. by Deshpande, Anand

Table 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.…”
Full text (MFA users only)

Building Machine Learning Systems with Python. by Richert, Willi

Full text (MFA users only)

Ranking the Liveability of the World's Major Cities : the Global Liveable Cities Index (GLCI). by Tan, Khee Giap

Full text (MFA users only)

Data clustering in C++ : an object-oriented approach by Gan, Guojun, 1979-

Full text (MFA users only)

CUDA programming : a developer's guide to parallel computing with GPUs by Cook, Shane

Table of Contents: “…ALGORITHMIC ISSUESFINDING AND AVOIDING ERRORS; DEVELOPING FOR FUTURE GPUS; FURTHER RESOURCES; CONCLUSION; References; Index.…”
Full text (MFA users only)

Handbook for pandemic and mass-casualty planning and response

Table of Contents: “…Burn Injuries during Mass-Casualty IncidentsBlast Injuries; Section 3: Communication and Information Sharing; Information Sharing in Practice and for Practice: Mass-Casualty Cases; Communication between Emergency Medical Services and Media during Mass-Casualty Events in Croatia; Just-in-Time Information; Collaboration Topologies for Interdisciplinary and Interlevel Information Exchange; Networks and Their Role in Counteracting Contemporary Global Threats: A New Model; Architecture of R & D Project Management Systems at Medical Institutions; Lessons Learned; Lessons Learned; Subject Index…”
Full text (MFA users only)

AI and human thought and emotion by Freed, Sam (Philosophy professor)

Full text (MFA users only)

High performance computing on complex environments by Jeannot, Emmanuel

Table of Contents: “…Chapter 4: Parallel Algorithms for Parabolic Problems on Graphs in Neuroscience4.1 Introduction; 4.2 Formulation of the Discrete Model; 4.3 Parallel Algorithms; 4.4 Computational Results; 4.5 Conclusions; Acknowledgments; References; Part III: Communication and Storage Considerations in High-Performance Computing; Chapter 5: An Overview of Topology Mapping Algorithms and Techniques in High-Performance Computing; 5.1 Introduction; 5.2 General Overview; 5.3 Formalization of the Problem; 5.4 Algorithmic Strategies for Topology Mapping; 5.5 Mapping Enforcement Techniques; 5.6 Survey of Solutions.…”
Full text (MFA users only)

Robot Intelligence for Coordinated Manipulation and Its Industrial Application. by Yang, Chenguang

Table of Contents: “…ASPW-DRL: assembly sequence planning for workpieces via a deep reinforcement learning approach -- Cooperative multi-agent search using Bayesian approach with connectivity maintenance -- An extended DMP framework for robot learning and improving variable stiffness manipulation -- Cooperative control of dual-arm robots in different human-robot collaborative tasks -- Reinforcement learning for human-robot shared control -- On stability for learning human control strategy by demonstrations using SVM -- A novel active balance assistive control strategy based on virtual stiffness model of XCoM…”
Full text (MFA users only)