INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE & COMPUTER SCIENCE - AICS 2014

Країна: Індонезія

Місто: Bandung

Тези до: 10.06.2014

Дати: 15.09.14 — 15.09.14

Е-мейл Оргкомітету: aics.wcr@gmail.com

Організатори: http://worldconferences.net/

 

Theme
“Artificial Intelligence and its Application for the Future”

Sub-themes

Natural language processing
Machine Translation
Machine Transliteration
Computer Science
Computer Intelligence
Algorithm and Programming
Software Engineering
Fuzzy logic and soft computing
Software tools for AI
Expert systems
Decision support systems
Automated problem solving
Knowledge discovery
Knowledge representation
Knowledge acquisition
Knowledge-intensive problem solving techniques
Knowledge networks and management
Intelligent information systems
Intelligent web-based business
Intelligent agents
Intelligent networks
Intelligent databases
Intelligent user interface
AI and evolutionary algorithms
Intelligent tutoring systems
Reasoning strategies
Distributed AI algorithms and techniques
Distributed AI systems and architectures
Neural networks and applications
Heuristic searching methods
Languages and programming techniques for AI
Constraint-based reasoning and constraint programming
Intelligent information fusion
Search and meta-heuristics
Swarm Optimization
Integration of AI with other technologies
Evaluation of AI tools
Social intelligence (markets and computational societies)
Social impact of AI
Emerging technologies
Applications (including: computer vision, signal processing, pattern recognition, face recognition, finger print recognition, education, emerging applications, …)
Machine Learning
- General Machine Learning Theory
- Statistical learning theory
- Unsupervised and Supervised Learning
- Hierarchical learning models
- Relational learning models
- Meta learning
- Stochastic optimization
- Simulated annealing
- Heuristic optimization techniques
- Neural networks
- Reinforcement learning
- Multi-criteria reinforcement learning
- Multiple hypothesis testing
- Decision making
- Markov chain Monte Carlo (MCMC) methods
- Graphical models
- Gaussian graphical models
- Cross-Entropy method
- Ant colony optimization
- Time series prediction
- Fuzzy logic and learning
- Inductive learning and applications
- Grammatical inference
- General Graph-based Machine Learning Techniques
- Graph-based semi-supervised learning
- Graph clustering
- Graph learning based on graph transformations and grammars
- Graph learning based on graph matching
- Information-theoretical approaches to graphs
- Motif search
- Network inference
- General issues in graph and tree mining
- Computational Intelligence
- Induction of document grammars
- Supervised and unsupervised classification of web data
- General Structure-based approaches in information retrieval, web authoring, information extraction, and web content mining
- Latent semantic analysis
- Intelligent linguistic
- Aspects of text technology
- Computational vision
- Computational Statistics

- See more at: http://worldconferences.net/aics14/#stha...

Theme
“Artificial Intelligence and its Application for the Future”

Sub-themes

Natural language processing
Machine Translation
Machine Transliteration
Computer Science
Computer Intelligence
Algorithm and Programming
Software Engineering
Fuzzy logic and soft computing
Software tools for AI
Expert systems
Decision support systems
Automated problem solving
Knowledge discovery
Knowledge representation
Knowledge acquisition
Knowledge-intensive problem solving techniques
Knowledge networks and management
Intelligent information systems
Intelligent web-based business
Intelligent agents
Intelligent networks
Intelligent databases
Intelligent user interface
AI and evolutionary algorithms
Intelligent tutoring systems
Reasoning strategies
Distributed AI algorithms and techniques
Distributed AI systems and architectures
Neural networks and applications
Heuristic searching methods
Languages and programming techniques for AI
Constraint-based reasoning and constraint programming
Intelligent information fusion
Search and meta-heuristics
Swarm Optimization
Integration of AI with other technologies
Evaluation of AI tools
Social intelligence (markets and computational societies)
Social impact of AI
Emerging technologies
Applications (including: computer vision, signal processing, pattern recognition, face recognition, finger print recognition, education, emerging applications, …)
Machine Learning
- General Machine Learning Theory
- Statistical learning theory
- Unsupervised and Supervised Learning
- Hierarchical learning models
- Relational learning models
- Meta learning
- Stochastic optimization
- Simulated annealing
- Heuristic optimization techniques
- Neural networks
- Reinforcement learning
- Multi-criteria reinforcement learning
- Multiple hypothesis testing
- Decision making
- Markov chain Monte Carlo (MCMC) methods
- Graphical models
- Gaussian graphical models
- Cross-Entropy method
- Ant colony optimization
- Time series prediction
- Fuzzy logic and learning
- Inductive learning and applications
- Grammatical inference
- General Graph-based Machine Learning Techniques
- Graph-based semi-supervised learning
- Graph clustering
- Graph learning based on graph transformations and grammars
- Graph learning based on graph matching
- Information-theoretical approaches to graphs
- Motif search
- Network inference
- General issues in graph and tree mining
- Computational Intelligence
- Induction of document grammars
- Supervised and unsupervised classification of web data
- General Structure-based approaches in information retrieval, web authoring, information extraction, and web content mining
- Latent semantic analysis
- Intelligent linguistic
- Aspects of text technology
- Computational vision
- Computational Statistics

- See more at: http://worldconferences.net/aics14/#stha...

Theme
“Artificial Intelligence and its Application for the Future”

Sub-themes

Natural language processing
Machine Translation
Machine Transliteration
Computer Science
Computer Intelligence
Algorithm and Programming
Software Engineering
Fuzzy logic and soft computing
Software tools for AI
Expert systems
Decision support systems
Automated problem solving
Knowledge discovery
Knowledge representation
Knowledge acquisition
Knowledge-intensive problem solving techniques
Knowledge networks and management
Intelligent information systems
Intelligent web-based business
Intelligent agents
Intelligent networks
Intelligent databases
Intelligent user interface
AI and evolutionary algorithms
Intelligent tutoring systems
Reasoning strategies
Distributed AI algorithms and techniques
Distributed AI systems and architectures
Neural networks and applications
Heuristic searching methods
Languages and programming techniques for AI
Constraint-based reasoning and constraint programming
Intelligent information fusion
Search and meta-heuristics
Swarm Optimization
Integration of AI with other technologies
Evaluation of AI tools
Social intelligence (markets and computational societies)
Social impact of AI
Emerging technologies
Applications (including: computer vision, signal processing, pattern recognition, face recognition, finger print recognition, education, emerging applications, …)
Machine Learning
- General Machine Learning Theory
- Statistical learning theory
- Unsupervised and Supervised Learning
- Hierarchical learning models
- Relational learning models
- Meta learning
- Stochastic optimization
- Simulated annealing
- Heuristic optimization techniques
- Neural networks
- Reinforcement learning
- Multi-criteria reinforcement learning
- Multiple hypothesis testing
- Decision making
- Markov chain Monte Carlo (MCMC) methods
- Graphical models
- Gaussian graphical models
- Cross-Entropy method
- Ant colony optimization
- Time series prediction
- Fuzzy logic and learning
- Inductive learning and applications
- Grammatical inference
- General Graph-based Machine Learning Techniques
- Graph-based semi-supervised learning
- Graph clustering
- Graph learning based on graph transformations and grammars
- Graph learning based on graph matching
- Information-theoretical approaches to graphs
- Motif search
- Network inference
- General issues in graph and tree mining
- Computational Intelligence
- Induction of document grammars
- Supervised and unsupervised classification of web data
- General Structure-based approaches in information retrieval, web authoring, information extraction, and web content mining
- Latent semantic analysis
- Intelligent linguistic
- Aspects of text technology
- Computational vision
- Computational Statistics

- See more at: http://worldconferences.net/aics14/#stha...

Theme
“Artificial Intelligence and its Application for the Future”

Sub-themes

Natural language processing
Machine Translation
Machine Transliteration
Computer Science
Computer Intelligence
Algorithm and Programming
Software Engineering
Fuzzy logic and soft computing
Software tools for AI
Expert systems
Decision support systems
Automated problem solving
Knowledge discovery
Knowledge representation
Knowledge acquisition
Knowledge-intensive problem solving techniques
Knowledge networks and management
Intelligent information systems
Intelligent web-based business
Intelligent agents
Intelligent networks
Intelligent databases
Intelligent user interface
AI and evolutionary algorithms
Intelligent tutoring systems
Reasoning strategies
Distributed AI algorithms and techniques
Distributed AI systems and architectures
Neural networks and applications
Heuristic searching methods
Languages and programming techniques for AI
Constraint-based reasoning and constraint programming
Intelligent information fusion
Search and meta-heuristics
Swarm Optimization
Integration of AI with other technologies
Evaluation of AI tools
Social intelligence (markets and computational societies)
Social impact of AI
Emerging technologies
Applications (including: computer vision, signal processing, pattern recognition, face recognition, finger print recognition, education, emerging applications, …)
Machine Learning
- General Machine Learning Theory
- Statistical learning theory
- Unsupervised and Supervised Learning
- Hierarchical learning models
- Relational learning models
- Meta learning
- Stochastic optimization
- Simulated annealing
- Heuristic optimization techniques
- Neural networks
- Reinforcement learning
- Multi-criteria reinforcement learning
- Multiple hypothesis testing
- Decision making
- Markov chain Monte Carlo (MCMC) methods
- Graphical models
- Gaussian graphical models
- Cross-Entropy method
- Ant colony optimization
- Time series prediction
- Fuzzy logic and learning
- Inductive learning and applications
- Grammatical inference
- General Graph-based Machine Learning Techniques
- Graph-based semi-supervised learning
- Graph clustering
- Graph learning based on graph transformations and grammars
- Graph learning based on graph matching
- Information-theoretical approaches to graphs
- Motif search
- Network inference
- General issues in graph and tree mining
- Computational Intelligence
- Induction of document grammars
- Supervised and unsupervised classification of web data
- General Structure-based approaches in information retrieval, web authoring, information extraction, and web content mining
- Latent semantic analysis
- Intelligent linguistic
- Aspects of text technology
- Computational vision
- Computational Statistics
- See more at: http://worldconferences.net/aics14/#stha...

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