Intelligent Computing Theories and Methodologies
-15%
portes grátis
Intelligent Computing Theories and Methodologies
11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015, Proceedings, Part II
Huang, De-Shuang; Jo, Kang-Hyun; Hussain, Abir
Springer International Publishing AG
07/2015
755
Mole
Inglês
9783319221854
15 a 20 dias
Descrição não disponível.
Genetic algorithms.- Artificial bee colony algorithms.- Swarm intelligence and optimization.- Social computing.- Information security.- Virtual reality and human-computer interaction.- Healthcare informatics theory and methods.- Unsupervised learning.- Collective intelligence.- Intelligent computing in robotics.- Intelligent computing in communication networks.- Intelligent control and automation.- Intelligent data analysis and prediction.- Gene expression array analysis.- Gene regulation modeling and analysis.- Protein-protein interaction prediction.- Biology inspired computing and optimization.- Analysis and visualization of large biological data sets.- Motif detection.- Biomarker discovery.- Modeling, simulation, and optimization of biological systems.- Biomedical data modeling and mining.- Intelligent computing in biomedical signal/image analysis.- Intelligent computing in brain imaging.- Neuroinformatics.- Cheminformatics.- Intelligent computing in computational biology.- Computational genomics.- Biomedial data integration and mining in the era of big data.- Big data analytics.- Artificial intelligence for ambient assisted living.- Swarm intelligence with discrete dynamics.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial intelligence;Bioinformatics;Biological networks;Computational biology;Computational genomics;Computer vision;Data mining and Clustering;Deep learning;Dimensionality reduction and manifold learning;Ensemble methods;Feature selection;Kernel methods;Molecular sequence analysis;Motif discovery;Neural networks;Reinforcement learning;Semi-supervised learning;Supervised learning;Support vector machines;Unsupervised learning
Genetic algorithms.- Artificial bee colony algorithms.- Swarm intelligence and optimization.- Social computing.- Information security.- Virtual reality and human-computer interaction.- Healthcare informatics theory and methods.- Unsupervised learning.- Collective intelligence.- Intelligent computing in robotics.- Intelligent computing in communication networks.- Intelligent control and automation.- Intelligent data analysis and prediction.- Gene expression array analysis.- Gene regulation modeling and analysis.- Protein-protein interaction prediction.- Biology inspired computing and optimization.- Analysis and visualization of large biological data sets.- Motif detection.- Biomarker discovery.- Modeling, simulation, and optimization of biological systems.- Biomedical data modeling and mining.- Intelligent computing in biomedical signal/image analysis.- Intelligent computing in brain imaging.- Neuroinformatics.- Cheminformatics.- Intelligent computing in computational biology.- Computational genomics.- Biomedial data integration and mining in the era of big data.- Big data analytics.- Artificial intelligence for ambient assisted living.- Swarm intelligence with discrete dynamics.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial intelligence;Bioinformatics;Biological networks;Computational biology;Computational genomics;Computer vision;Data mining and Clustering;Deep learning;Dimensionality reduction and manifold learning;Ensemble methods;Feature selection;Kernel methods;Molecular sequence analysis;Motif discovery;Neural networks;Reinforcement learning;Semi-supervised learning;Supervised learning;Support vector machines;Unsupervised learning
