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ACC 2018 - The 2nd International Conference on Applied Cognitive Computing

Date2018-07-30 - 2018-08-02


VenueLas Vegas, USA - United States USA - United States



Topics/Call fo Papers

All researchers, authors and scientists are respectfully encouraged to contribute to the conference with submissions of their novel research papers having unpublished and original research with theoretical, mathematical, empirical and experimental work in the following arears of applied cognitive computing and are cordially invited for presentation at the conference.
Novel Computationally Intelligent algorithms
Bio Inspired Cognitive Algorithms
Improving Cognition in machine learning systems
Modeling Human Brain processing systems
Multimodal learning systems
Autonomous learning systems
Reinforced learning
Cognitive evolution
Concept Drift and Evolution
Cognitive inferential systems
Cognitive improvement in deep learning networks
Hebbian Learning Systems
Advancements in Neural Networks
Fuzzy Engineering
Multiscale Learning systems
Fractal based learning and decision support systems
Application of chaos Engineering in machine intelligence
Dynamical learning systems
Application of Information Theory in Machine Intelligence
Application of linear and nonlinear optimization theory in machine intelligence
New algorithms for Predictive Analytics and Applied Data Science
Self-Adaptive and Self Organizing Systems
Manifold and Metric learning
Cognitive Modeling, Visualization and Analytics of Big Data
Application of Graph Theoretic approaches in dimensionality reduction and machine intelligence
Information and Knowledge retrieval and searching algorithms
Big data knowledge mining
Mathematical modeling of Big Data and Artificial Intelligence
Cognitive Signal Processing
Rough Set Theory
Knowledge Representation and Classification Systems
Agent Based Modeling in Machine Learning Systems
Information Processing and Decision Making Systems
Natural Language Processing
Big Data Fusion and Information Retrieval
Time and Space Analysis in Machine Learning
New application of classical stochastic and statistical analysis for big data machine learning
Bayesian modeling applications
Hierarchical learning systems
Cognition in Genetic and Evolutionary algorithms for learning and decision making
Nature inspired cognitive computing algorithms
Heuristic Analysis
Cognitive Feature Extraction
Extraction of latent semantics from big data

Last modified: 2018-01-12 06:27:30