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81. Advances in social media analysis [2015]
- Cham : Springer, 2015.
- Description
- Book — 1 online resource (vii, 151 pages) : illustrations Digital: text file.PDF.
- Summary
-
- Case-Studies in Mining User-Generated Reviews for Recommendation
- Mining Newsworthy Topics from Social Media
- Sentiment Analysis Using Supervised Learning with Domain-Adaptation and Sentence-Based Analysis
- Pattern-based Emotion Classification on Social Media
- Entity-based Opinion Mining from Text and Multimedia
- Predicting Emotion Labels for Chinese Microblog Texts.
- Nakamatsu, Kazumi.
- Singapore : World Scientific Pub. Co., 2013.
- Description
- Book — 1 online resource (680 pages)
- Summary
-
- Advances in Intelligent Systems (Lakhmi C Jain and Kazumi Nakamatsu)
- Stability, Chaos and Limit Cycles in Recurrent Cognitive Reasoning Systems (Aruna Chakraborty, Amit Konar, Pavel Bhowmik and Atulya K Nagar)
- Some Studies on Data Mining (Dilip Kumar Pratihar)
- Rough Non-Deterministic Information Analysis for Uncertain Information (Hiroshi Sakai, Hitomi Okuma, Mao Wu and Michinori Nakata)
- Metamathematical Limits to Computation (N C A da Costa and F A Doria)
- Hypothesis Refinement: Building Hypotheses in an Intelligent Agent System (Gauvain Bourgne, Nicolas Maudet and Suzanne Pinson)
- A Heuristic Algorithmic Procedure to Solve Allocation Problems with Fuzzy Evaluations (R Bartholo, C A N Cosenza, F A Doria and M R Doria)
- Non-Classical Logics and Intelligent Systems (Seiki Akama)
- A Paraconsistent Annotated Logic Program Before-After EVALPSN and Its Application (Kazumi Nakamatsu and Jair Minoro Abe)
- Inspecting and Preferring Abductive Models (Luis Moniz Pereira, Pierangelo Dell'Acqua, Alexandre Miguel Pinto and Goncalo Lopes)
- Supervised Neural Network Learning: From Vectors to Graphs (Monica Bianchini, Marco Maggini and Lorenzo Sarti)
- Paraconsistent Artificial Neural Networks and Applications (Jair Minoro Abe and Kazumi Nakamatsu)
- Paraconsistent Annotated Evidential Logic E and Applications in Automation and Robotics (Jair Minoro Abe and Kazumi Nakamatsu)
- Adaptive Intelligent Learning System for Online Learning Environments (Fatma Cemile Serce, Ferda Nur Alpaslan and Lakhmi C Jain)
- Automatic Test Program Generation: How Artificial Evolution May Outperform Experience (Danilo Ravotto, Ernesto Sanchez and Giovanni Squillero)
- Discovery of Communications Patterns by the Use of Intelligent Reasoning (J Fulcher, M Zhang, Q Bai and F Ren)
- Adaptive Approach to Quality Enhancement and Storage of Signatures and Fingerprint Images (Roumen Kountchev)
- Knowledge Representation for Electronic Circuits in Logic Programming (Takushi Tanaka)
- An Intelligent CBR Model for Predicting Changes in Tropical Cyclones Intensities (James N K Liu, Simon C K Shiu, Jane You and Leon S K Law)
- Analysis of Sequential Data in Tool Manufacturing of Volkswagen AG (Kemal Ince, Thomas Schneider and Frank Klawonn)
- Reasoning-Based Artificial Agents in Agent-Based Computational Economics (Shu-Heng Chen)
- Reasoning and Knowledge Acquisition from Medical Database Using Lattice SOM and Tree Structure SOM (Takumi Ichimura, Takashi Yamaguchi and Kenneth James Mackin)
- Approximate Processing in Medical Diagnosis by Means of Deductive Agents (G Fenza, D Furno, V Loia and S Senatore).
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
83. Algorithms unplugged [2011]
- Berlin ; Heidelberg ; New York : Springer, ©2011.
- Description
- Book — 1 online resource (x, 406 pages) : illustrations (some color) Digital: data file.
- Summary
-
- Part I
- Searching and Sorting
- Overview
- 1 Binary Search
- 2 Insertion Sort
- 3 Fast Sorting Algorithms
- 4 Parallel Sorting
- The Need for Speed
- 5 Topological Sorting
- How Should I Begin to Complete My To Do List?
- 6 Searching Texts
- But Fast! The Boyer-Moore-Horspool Algorithm
- 7 Depth-First Search (Ariadne & Co.)
- 8 Pledge's Algorithm
- How to Escape from a Dark Maze
- 9 Cycles in Graphs
- 10 PageRank
- What Is Really Relevant in the World-Wide Web?
- Part II
- Arithmetic and Encryption
- Overview
- 11 Multiplication of Long Integers
- Faster than Long Multiplication
- 12 The Euclidean Algorithm
- 13 The Sieve of Eratosthenes
- How Fast Can We Compute a Prime Number Table?
- 14 One-Way Functions
- Mind the Trap
- Escape Only for the Initiated
- 15 The One-Time Pad Algorithm
- The Simplest and Most Secure Way to Keep Secrets
- 16 Public-Key Cryptography
- 17 How to Share a Secret
- 18 Playing Poker by Email
- 19 Fingerprinting
- 20 Hashing
- 21 Codes
- Protecting Data Against Errors and Loss
- Part III
- Planning, Coordination and Simulation
- Overview
- 22 Broadcasting
- How Can I Quickly Disseminate Information?
- 23 Coverting Numbers into English Words
- 24 Majority
- Who Gets Elected Class Rep?
- 25 Random Numbers
- How Can We Create Randomness in Computers?
- 26 Winning Strategies for a Matchstick Game
- 27 Scheduling of Tournaments or Sports Leagues
- 28 Eulerian Circuits
- 29 High-Speed Circles
- 30 Gauß-Seidel Iterative Method for the Computation of Physical Problems
- 31 Dynamic Programming
- Evolutionary Distance
- Part IV
- Optimisation
- Overview
- 32 Shortest Paths
- 33 Minimum Spanning Trees
- Sometimes Greed Pays Off
- 34 Maximum Flows
- Towards the Stadium During Rush Hour
- 35 Marriage Broker
- 36 The Smallest Enclosing Circle
- A Contribution to Democracy from Switzerland?
- 37 Online Algorithms
- What Is It Worth to Know the Future?
- 38 Bin Packing
- How Do I Get My Stuff into the Boxes
- 39 The Knapsack Problem
- 40 The Travelling Salesman Problem
- 41 Simulated Annealing.
- Berlin ; Heidelberg : Springer, ©2011.
- Description
- Book — 1 online resource (viii, 304 pages) Digital: text file.PDF.
- Summary
-
- From Interval (Set) and Probabilistic Granules to Set-and-Probabilistic Granules of Higher Order .- Artificial Intelligence Perspectives on Granular Computing
- Calculi of Approximation Spaces in Intelligent Systems .- Feature Discovery through Hierarchies of Rough Fuzzy Sets .- Comparative Study of Fuzzy Information Processing in Type-2 Fuzzy Systems .- Type-2 Fuzzy Similarity on Partial Truth and Intuitionistic Reasoning .- Decision-Making with Second Order Information Granules .- On the Usefulness of Fuzzy Rule Based Systems based on Hierarchical Linguistic Fuzzy Partitions .- Fuzzy Information Granulation with Multiple Levels of Granularity
- A Rough Set Approach to Building Association Rules and Its Applications .- Fuzzy Modeling with Grey Prediction for Designing Power System Stabilizers .- A Weighted Fuzzy Time Series Based Neural Network Approach to Option Price Forecasting .- A Rough Set Approach to Human Resource Development in IT Corporations .- Environmental Applications of Granular Computing and Intelligent Systems.
- Frommberger, Lutz.
- Heidelberg ; New York : Springer-Verlag, 2010.
- Description
- Book — 1 online resource (xvii, 174 pages) : illustrations Digital: text file; PDF.
- Summary
-
- Foundations of Reinforcement Learning
- Abstraction and Knowledge Transfer in Reinforcement Learning
- Qualitative State Space Abstraction
- Generalization and Transfer Learning with Qualitative Spatial Abstraction
- RLPR
- An Aspectualizable State Space Representation
- Empirical Evaluation
- Summary and Outlook.
- Berlin ; London : Springer, 2008.
- Description
- Book — 1 online resource (viii, 281 pages) : illustrations (some color) Digital: text file.PDF.
- Summary
-
- Biological Foundations of Swarm Intelligence.- Swarm Intelligence in Optimization.- Swarm Robotics.- Routing Protocols for Next-Generation Networks Inspired by Collective Behaviors of Insect Societies: An Overview.- Applications.- Evolution, Self-organization and Swarm Robotics.- Particle Swarms for Dynamic Optimization Problems.- An Agent-Based Approach to Self-organized Production.- Organic Computing and Swarm Intelligence.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
- Herbrich, Ralf.
- Cambridge, Mass. : MIT Press, ©2002.
- Description
- Book — 1 online resource (xx, 364 pages) : illustrations.
- Summary
-
An overview of the theory and application of kernel classification methods. Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier-a limited, but well-established and comprehensively studied model-and extends its applicability to a wide range of nonlinear pattern-recognition tasks such as natural language processing, machine vision, and biological sequence analysis. This book provides the first comprehensive overview of both the theory and algorithms of kernel classifiers, including the most recent developments. It begins by describing the major algorithmic advances: kernel perceptron learning, kernel Fisher discriminants, support vector machines, relevance vector machines, Gaussian processes, and Bayes point machines. Then follows a detailed introduction to learning theory, including VC and PAC-Bayesian theory, data-dependent structural risk minimization, and compression bounds. Throughout, the book emphasizes the interaction between theory and algorithms: how learning algorithms work and why. The book includes many examples, complete pseudo code of the algorithms presented, and an extensive source code library.
(source: Nielsen Book Data)
- Herbrich, Ralf.
- Cambridge, Mass. : MIT Press, ©2002.
- Description
- Book — 1 online resource (xx, 364 pages) : illustrations.
- Summary
-
An overview of the theory and application of kernel classification methods. Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier-a limited, but well-established and comprehensively studied model-and extends its applicability to a wide range of nonlinear pattern-recognition tasks such as natural language processing, machine vision, and biological sequence analysis. This book provides the first comprehensive overview of both the theory and algorithms of kernel classifiers, including the most recent developments. It begins by describing the major algorithmic advances: kernel perceptron learning, kernel Fisher discriminants, support vector machines, relevance vector machines, Gaussian processes, and Bayes point machines. Then follows a detailed introduction to learning theory, including VC and PAC-Bayesian theory, data-dependent structural risk minimization, and compression bounds. Throughout, the book emphasizes the interaction between theory and algorithms: how learning algorithms work and why. The book includes many examples, complete pseudo code of the algorithms presented, and an extensive source code library.
(source: Nielsen Book Data)
89. L'intelligence artificielle [2021]
- Boden, Margaret A., author aut http://id.loc.gov/vocabulary/relators/aut
- Les Ulis : EDP Sciences, [2021]
- Description
- Book — 1 online resource (180 pages) Digital: text file.PDF.
- Summary
-
- Frontmatter
- Remerciements
- Sommaire
- Préface
- 1. Qu'est-ce au juste que l'intelligence artificielle?
- 2. Avec l'intelligence artificielle générale pour Graal
- 3. Langage, créativité et émotions
- 4. Les réseaux de neurones artificiels
- 5. Les robots et la vie artificielle (A-life)
- 6. Mais, est-ce réellement de l'intelligence?
- 7. La Singularité
- Références
- Lectures complémentaires
- Index
- Kozak, Jan (College teacher), author.
- Cham : Springer, [2019]
- Description
- Book — 1 online resource (xi, 159 pages) : illustrations Digital: text file.PDF.
- Summary
-
- Theoretical Framework.- Evolutionary Computing Techniques in Data Mining.- Ant Colony Decision Tree Approach.- Adaptive Goal Function of the ACDT Algorithm.- Examples of Practical Application.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
91. Socio-cultural inspired metaheuristics [2019]
- Singapore : Springer, 2019.
- Description
- Book — 1 online resource (x, 303 pages) : illustrations (some color) Digital: text file.PDF.
- Summary
-
- Optimum Design of Four Mechanical Elements Using Cohort Intelligence Algorithm.- Premier League Championship Algorithm: a multi-population based Algorithm and its Application on Structural Design Optimization.- Socio-inspired Optimization Metaheuristics: A Review.- Social Group Optimization Algorithm for Pattern Optimization in Antenna Arrays.- A Self-organizing Multi-agent Cooperative Robotic System: An Application of Cohort Intelligence Algorithm.- Feature Selection for Vocal Segmentation Using Social Emotional Optimization Algorithm.- Simultaneous Size and Shape Optimization of Dome-shaped Structures Using Improved Cultural Algorithm.- A Socio-Based Cohort Intelligence Algorithm for Integer Discrete and Mixed Design Variables Engineering Problems.- Maximizing Profits in Crop Planning Using Socio Evolution and Learning Optimization.- Application of Cohort- intelligence Variations Designing Fractional PID Controller for Various Systems.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
- International Workshop on Complex Networks and Their Applications (6th : 2017 : Lyon, France)
- Cham, Switzerland : Springer, [2018]
- Description
- Book — 1 online resource (xxv, 1288 pages) : illustrations (some color) Digital: text file.PDF.
- Summary
-
- Part I: Network measures.- A comparison of approaches to computing betweenness centrality for large graphs.- Cycle-centrality in economic and biological networks.- A game theoretic neighbourhood-based relevance index.- The impact of partially missing communities on the reliability of centrality measures.- Consistent estimation of mixed memberships with successive projections.- Reducing pivots of approximated betweenness computation by hierarchically clustering complex networks.- Power network equivalents: a network science based k-means clustering method integrated with silhouette analysis.- Part II: Link Analysis and Ranking.- Newton's gravitational law for link prediction in social networks.- Efficient outlier detection in hyperedge streams using minHash and locality-sensitive hashing.- Layer-wise model stacking for link prediction in multilayer networks. Case of scientific collaboration networks.- Evolutionary community mining for link prediction in dynamic networks.- Rank aggregation for course sequence discovery.- Part III: Community Structure.- Community-based feature selection for credit card default prediction.- Tracking bitcoin users activity using community detection on a network of weak signals.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
- Ebrahimnejad, Ali, author.
- Cham, Switzerland : Springer, 2018.
- Description
- Book — 1 online resource (xiii, 361 pages) : illustrations (some color) Digital: text file.PDF.
- Summary
-
- Fuzzy Set Theory.- Fuzzy Linear Programming.- Linear Programming with Fuzzy Parameters: Simplex Based Approaches.- Linear Programming with Fuzzy Parameters: Non-Simplex Based Approaches.- Fuzzy Transportation Problem.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
- Cham, Switzerland : Springer, 2017.
- Description
- Book — 1 online resource Digital: text file.PDF.
- Summary
-
- Type-2 and Intuitionistic Fuzzy Logic: On the Graphical Representation of Intuitionistic Membership Functions for its use in Intuitionistic Fuzzy Inference Systems.- A gravitational search algorithm using type-2 fuzzy logic for parameter adaptation.- General Type-2 Fuzzy edge detection in the preprocessing of a face recognition system.- Interval Type-2 Fuzzy Possibilistic C-Means Optimization using Particle Swarm Optimization.- Optimization of Type-2 and Type-1 Fuzzy Integrator to Ensemble Neural Network with Fuzzy Weights Adjustment.- Choquet integral and Interval Type-2 Fuzzy Choquet integral for edge detection.- An Overview of Granular Computing using Fuzzy Logic Systems.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
- Koprowski, Robert, author.
- Cham, Switzerland : Springer, 2017.
- Description
- Book — 1 online resource (xiii, 127 pages) : illustrations (some color) Digital: text file.PDF.
- Summary
-
- Processing of Hyperspectral Medical Images: Applications in Dermatology Using Matlab (R).- Foreword.- Preface.- Acknowledgments.- List of selected symbols.- Chapte
- r1: Introduction.- Chapte
- r2: Image acquisition.- Chapte
- r3: Image pre-processing.- Chapte
- r4: Image processing.- Chapte
- r5: Classification.- Chapte
- r6: Sensitivity to parameter changes.- Chapte
- r7: Conclusions.- Appendix.- References.- Summary.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
- Cham, Switzerland : Springer, 2017.
- Description
- Book — 1 online resource (xiv, 292 pages) : illustrations (some color) Digital: text file.PDF.
- Summary
-
- Preface.- MapReduce: From Elementary Circuits to Cloud.- On the Helmholtz Principle for Data Mining.- A method of introducing weights into OWA operators and other symmetric functions.- Uncertainty Management: Probability, Possibility, Entropy, and Other Paradigms- Relationships between fuzziness, partial truth and probability in the case of repetitive events.- Using extended tree kernels to recognize metalanguage in text.- Relationships between Probability and Possibility Theories.- Modeling extremal events is not easy: why the Extreme Value Theorem cannot be as general as the Central Limit Theorem.- Information quality and uncertainty.- Applying anomalous cluster approach to spatial clustering.- Why is linear quantile regression empirically successful: a possible explanation.- A Rapid Soft Computing Approach to Dimensionality Reduction in Model Construction.- Physics Of The Mind, Dynamic Logic, and Monotone Boolean Functions.- Fuzzy arithmetic type 1 without extension principle and vertical membership functions.- Copula as a bridge between probability theory and fuzzy logic.- Note to the polemics surrounding the second Goedel's theorem.- Ontological Data Mining.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
- International Symposium on Experimental Robotics (14th : 2014 : Marrakech, Morocco) Essaouira, Morocco.
- Cham : Springer, [2016]
- Description
- Book — 1 online resource (xiv, 927 pages) : chiefly color illustrations Digital: text file.PDF.
- Summary
-
- Locomotion.- Haptics.- Manipulation.- Perception.- Human-Robot Interaction.- Mapping and Localization.- Mechanisms.- Perception and Planning.- Sensor Networks.- Many-Robot Systems.- Interactive Presentations.- Plenary Talk.
- (source: Nielsen Book Data)
(source: Nielsen Book Data)
- International Symposium on Robotics Research (16th : 2013 : Singapore)
- Switzerland : Springer, 2016.
- Description
- Book — 1 online resource (xiv, 701 pages) : illustrations (some color)
- Summary
-
- Control
- Design.-Intelligence And Learning
- Manipulation
- Planning.
- Science and Information Conference (2014 : London, England)
- Cham : Springer, 2015.
- Description
- Book — 1 online resource (ix, 415 pages) : illustrations (some color) Digital: text file; PDF.
- Summary
-
- Computer Input by Human Eyes Only and it's Applications
- New Ideas for Brain Modelling 2
- Neural-like Growing Networks the Artificial Intelligence Basic Structure
- Detection of Privilege Abuse in RBACAdministered Database
- Learning-based Leaf Image Recognition Frameworks
- Massively Parallel Feature Selection based on Ensemble of Filters and Multiple Robust Consensus Functions for Cancer Gene Identification
- Relationship Discovery and Navigation in Big Graphs
- A Fuzzy System for Three-Factor, Non-textual Authentication
- Efficient Graph-Based Volumetric Segmentation
- A Hybrid Intelligent System in Cultural Intelligence
- Semantic-Based Recommender System with Humain Feeling Relevance Measure
- Alignment of Time Series for Subsequence-to-Subsequence Time Series Matching
- The Effects of Typing Demand on EmotionalStress, Mouse and Keystroke Behaviours
- Friend Recommendation in a Social Bookmarking System: Design and Architecture Guidelines
- Quantum Behaved Genetic Algorithm: Constraints-Handling and GPU Computing
- A Genetic Algorithm Approach for Optimizing a Single-Finger Arabic Keyboard Layout
- Dynamic Well Bottom-Hole Flowing Pressure Prediction Based on Radial Basis Neural Network
- Modeling Energy Consumption in A Educational Building: Comparative Study between Linear Regression, Fuzzy Set Theory and Neural Networks
- Delivering Faster Results Through Parallelisation and GPU Acceleration
- Probabilistic Roadmaps and Hierarchical Genetic Algorithms for Optimal Motion Planning
- Using Mouse and Keyboard Dynamics to Detect Cognitive Stress during Mental Arithmetic
- Towards Using Games Theory to Detect New U2R Attacks
- Development and Evaluation of Virtual Reality Medical Training System for Anatomy Education
- Compression of ECG signal using Hybrid technique
- Performance Analysis of MATLAB Parallel Computing Approaches to Implement Genetic Algorithm for Image Compression.-
100. EVOLVE -- A bridge between probability, set oriented numerics, and evolutionary computation V [2014]
- EVOLVE (International conference) (2014 : Beijing, China)
- Cham : Springer, 2014.
- Description
- Book — 1 online resource (xiv, 336 pages) : illustrations (some color) Digital: text file.PDF.
- Summary
-
- Set Oriented Numerics
- Computational Game Theory
- Machine Learning Applied to Networks
- Complex Networks and Landscape Analysis
- Local Search and Optimization
- Genetic Programming
- Evolutionary Multiobjective Optimization
- Practical Aspects of Evolutionary Algorithms.
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