Computational Intelligence for Life Sciences
نویسندگان
چکیده
منابع مشابه
Recent trends in computational intelligence in life sciences
Computational intelligence generally comprises a rather large set of – in a wider sense – adaptive and human-like data analysis and modelling methods. Due to some superior features – such as generalisation, trainability, coping with incomplete and inconsistent data, etc. – computational intelligence has found its way into numerous applications in almost all scientific disciplines. A very promin...
متن کاملEmerging Computational Methods for the Life Sciences Workshop 2012
Computing systems are rapidly changing with multicore, graphics processing units (GPUs), clusters, volunteer systems, clouds, and grids offering a confusing dazzling array of opportunities. New programming paradigms such as Google MapReduce and many-task computing have joined the traditional repertoire of workflow and parallel computing for the highest performance systems. Meanwhile, the life s...
متن کاملEmerging Computational Methods for the Life Sciences Workshop Special Issue
were all enhanced over the conference versions and separately reviewed. I would like to thank Ian Foster and Geoffrey Fox for their help putting this special issue together.
متن کاملSpecial Issue on Computational Models for Life Sciences
This special issue consists of five papers selected from the First International Symposium on Computational Models for Life Sciences (CMLS’07) held on the Gold Coast of Australia in December 2007. These papers were extended, reviewed and revised for final acceptance. These papers are selected for publications in the International Journal of Intelligent Hybrid Systems based on their quality, rel...
متن کاملA hybrid computational intelligence model for foreign exchange rate forecasting
Computational intelligence approaches have gradually established themselves as a popular tool for forecasting the complicated financial markets. Forecasting accuracy is one of the most important features of forecasting models; hence, never has research directed at improving upon the effectiveness of time series models stopped. Nowadays, despite the numerous time series forecasting models propos...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Fundamenta Informaticae
سال: 2019
ISSN: 0169-2968,1875-8681
DOI: 10.3233/fi-2020-1872