Advances in soft computing. 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancún, Mexico, October 23?28, 2016, Proceedings /: 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancún, Mexico, October 23?28, 2016, Proceedings. Part II : (2017)
- Record Type:
- Book
- Title:
- Advances in soft computing. 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancún, Mexico, October 23?28, 2016, Proceedings /: 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancún, Mexico, October 23?28, 2016, Proceedings. Part II : (2017)
- Main Title:
- Advances in soft computing. 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Cancún, Mexico, October 23?28, 2016, Proceedings
- Other Titles:
- MICAI 2016
- Further Information:
- Note: Obdulia Pichardo-Lagunas, Sabino Miranda-Jiménez (eds.).
- Editors:
- Pichardo Lagunas, Obdulia
Miranda-Jiménez, Sabino - Other Names:
- Mexican International Conference on Artificial Intelligence, 15th
- Contents:
- General -- Normality from Monte Carlo Simulation for Statistical Validation of Computer Intensive Algorithms -- Are Android Smartphones Ready to Locally Execute Intelligent Algorithms -- Reasoning and Multi-Agent Systems -- Large Scale Reasoning Using Allen's Interval Algebra -- Towards the Distributed Logic Programming of Intelligent Visual Surveillance Applications -- An efficient expert system for diabetes with a Bayesian inference engine -- iEnsemble: A Framework for Committee Machine based On Multiagent Systems with Reinforcement Learning -- Exploring Complex Networks with Failure-prone Agents -- On the Conception of Intelligent Power Plants Based on Multiple Agent Systems -- Neural Networks and Deep Learning -- Author Profiling with doc2vec Neural Network-Based Document Embeddings -- Neural network modelling for dissolved oxygen effects in extensive Litopenaeus vannamei culture -- Neural-network based algorithm for algae detection in automatic inspection of underwater pipelines -- Evolutionary Algorithms -- Study on the Development of Complex Network for Evolutionary and Swarm based Algorithms -- Estimation of Distribution Algorithms based on the Beta Distribution for Bounded Search Spaces -- Automated Analog Synthesis with an Estimation of the Distribution Algorithm -- Mathematical model of glucose metabolism by symbolic regression alpha beta -- Machine Learning -- Jensen inequality with subdifferential for Sugeno integral -- Towards a more general XCS: ClassifierGeneral -- Normality from Monte Carlo Simulation for Statistical Validation of Computer Intensive Algorithms -- Are Android Smartphones Ready to Locally Execute Intelligent Algorithms -- Reasoning and Multi-Agent Systems -- Large Scale Reasoning Using Allen's Interval Algebra -- Towards the Distributed Logic Programming of Intelligent Visual Surveillance Applications -- An efficient expert system for diabetes with a Bayesian inference engine -- iEnsemble: A Framework for Committee Machine based On Multiagent Systems with Reinforcement Learning -- Exploring Complex Networks with Failure-prone Agents -- On the Conception of Intelligent Power Plants Based on Multiple Agent Systems -- Neural Networks and Deep Learning -- Author Profiling with doc2vec Neural Network-Based Document Embeddings -- Neural network modelling for dissolved oxygen effects in extensive Litopenaeus vannamei culture -- Neural-network based algorithm for algae detection in automatic inspection of underwater pipelines -- Evolutionary Algorithms -- Study on the Development of Complex Network for Evolutionary and Swarm based Algorithms -- Estimation of Distribution Algorithms based on the Beta Distribution for Bounded Search Spaces -- Automated Analog Synthesis with an Estimation of the Distribution Algorithm -- Mathematical model of glucose metabolism by symbolic regression alpha beta -- Machine Learning -- Jensen inequality with subdifferential for Sugeno integral -- Towards a more general XCS: Classifier fusion and don?t care in actions -- A Novel Artificial Hydrocarbon Networks Based Value Function Approximation in Hierarchical Reinforcement Learning -- Wind power forecasting for the Villonaco wind farm using AI techniques -- Predicting the need of mechanical ventilation in Guillain-Barre patients using machine learning algorithms with relevant features -- A Robust Machine learning Approach to Microprocessor Instructions Identification Final -- Classification and Clustering -- Stochastic Semantic-Based Multi-Objective Genetic Programming Optimisation for Classification of Imbalanced Data -- Consensus Clustering for Binning Metagenome Sequences -- Algorithm for Clustering of Web Search Results from a Hyper-Heuristic approach -- Grouping Business Process Models Based on Multimodal Search and Covering Arrays -- Optimization -- A new method to optimize dynamic environments with global changes using the chickens-hen' algorithm -- Transit Network Frequencies-Setting Problem Solved Using a new Multi-Objective Global-Best Harmony Search Algorithm and Discrete Event Simulation -- Optimal pricing model: case of study for convenience stores -- Method of musical composition for portfolio optimization problem -- Metaheuristic hybridized applied to solve the Capacity Vehicle Routing Problem -- ABC-PSO: An Efficient Bioinspired Metaheuristic for Parameter Estimation in Nonlinear Regression -- Data Mining -- Data mining in EEG wave trains in early stages of Parkinson's disease -- Data Mining in the Analysis of Ocean-Atmosphere Dynamics in Colombia?s Central Caribbean Ocean -- Molecular docking based on ligand by Complexity LMC -- Integrating Information of Films by a Multi-Source Combining Framework -- Graph-Based Algorithms -- Computing the clique-width of Polygonal tree graphs -- A New Approach to Weakening and Destruction of Malicious Internet Networks -- Intelligent Learning Environments -- Toward Optimal Pedagogical Action Patterns by means of Partially Observable Markov Decision Process -- Data-driven construction of a student model using Bayesian networks in an electrical domain -- Strategic Learning Meta-model: A Selection Model of Learning Activities -- CodeTraining: An Authoring Tool for a Gamified Programming Learning Environment -- Generating a Logical Structure for Virtualizing Physiotherapy Instructions through NLP -- Building a Corpus and a Local Binary Pattern Recognizer for Learning-Centered Emotions -- Affective Learning System for Algorithmic Logic Applying Gamification. . … (more)
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2017
- Extent:
- 1 online resource (xxvii, 552 pages), illustrations
- Subjects:
- 006.3
Computer science
Soft computing -- Congresses
Artificial intelligence -- Congresses
Artificial intelligence
Soft computing
Computers -- Information Technology
Computers -- Computer Graphics
Computers -- Hardware -- General
Computers -- Programming -- Algorithms
Information retrieval
Image processing
Computer networking & communications
Algorithms & data structures
Artificial intelligence
Computer vision
Computer network architectures
Computer software
Computers -- Intelligence (AI) & Semantics
Artificial intelligence
Electronic books
Conference papers and proceedings - Languages:
- English
- ISBNs:
- 9783319624280
3319624288 - Related ISBNs:
- 9783319624273
- Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed August 10, 2017).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.365873
- Ingest File:
- 02_343.xml