Ranking & Metrics Conference Call for Papers Other Conferences in United States
ICMLA 2021 : International Conference on Machine Learning and Applications

ICMLA 2021 : International Conference on Machine Learning and Applications

Pasadena, United States

Submission Deadline: Saturday 03 Jul 2021

Conference Dates: Dec 13, 2021 - Dec 16, 2021

Research
Impact Score 2.97

OFFICIAL WEBSITE

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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing top scientists in addition to the h-index estimated from the scientific papers published by top scientists. See more details on our methodology page.

Research Impact Score: 2.97
Contributing Top Scientist: 52
Papers published by Top Scientists 69
Research Ranking (Computer Science) 248

Conference Call for Papers

Scope of the Conference:
•statistical learning
•neural network learning
•learning through fuzzy logic
•learning through evolution (evolutionary algorithms)
•reinforcement learning
•multi-strategy learning
•cooperative learning
•planning and learning
•multi-agent learning
•online and incremental learning
•scalability of learning algorithms
•inductive learning
•inductive logic programming
•Bayesian networks
•support vector machines
•case-based reasoning
•evolutionary computation
•machine learning and natural language processing
•multi-lingual knowledge acquisition and representation
•grammatical inference
•knowledge discovery in databases
•knowledge Intensive Learning
•machine learning and information retrieval
•machine learning for bioinformatics and computational biology
•machine learning for web navigation and mining
•learning through mobile data mining
•text and multimedia mining through machine learning
•distributed and parallel learning algorithms and applications
•feature extraction and classification
•theories and models for plausible reasoning
•computational learning theory
•cognitive modelling
•adversarial learning
•machine leaning privacy
•hybrid learning algorithms
•deep learning
•big data
•machine learning in:
o game playing and problem solving
o intelligent virtual environments
o industrial and engineering applications
o homeland security applications
o medicine, bioinformatics and systems biology
o economics, business and forecasting applications

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