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 I
Huang, De-Shuang; Bevilacqua, Vitoantonio; Premaratne, Prashan
Springer International Publishing AG
07/2015
755
Mole
Inglês
9783319221793
15 a 20 dias
Descrição não disponível.
Evolutionary computation and learning.- Compressed sensing, sparse coding and social computing.- Neural networks, nature inspired computing and optimization.- Pattern recognition and signal processing.- Image processing.-Biomedical informatics theory and methods.- Differential evolution, particle swarm optimization and niche technology.- Intelligent computing and knowledge discovery and data mining.- Soft computing and machine learning.- Computational biology, protein structure and function prediction.
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
Evolutionary computation and learning.- Compressed sensing, sparse coding and social computing.- Neural networks, nature inspired computing and optimization.- Pattern recognition and signal processing.- Image processing.-Biomedical informatics theory and methods.- Differential evolution, particle swarm optimization and niche technology.- Intelligent computing and knowledge discovery and data mining.- Soft computing and machine learning.- Computational biology, protein structure and function prediction.
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
