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Data from nine subjects collected using P300-based brain-computer interface for disabled subjects. Split into four sessions for each subject. MATLAB code given. 1,224 Text Classification 2008 [263] [264] U. Hoffman et al. Heart Disease Data Set Attributed of patients with and without heart disease.
Provides an RDF data set about scientific publications and related entities, such as authors, institutions, journals, and fields of study. The data set is based on the Microsoft Academic Graph. [105] [106] Free University of Freiburg: MyScienceWork: Science Database includes more than 70 million scientific publications and 12 million patents. Free
This page collects helpful resources — Web sites, books, journals, and so on — to assist in writing good mathematics articles. To follow the scientific citation guidelines adopted by WikiProject Mathematics, every article should cite high quality sources where readers can learn more about the topic. In the spirit of Wikipedia, most sources ...
Search engines and academic databases are often used to find sources. When searching for sources, it is wise to skim-read everything available (including abstracts of papers you cannot fully access) to get a feel for expert opinion on the most important aspects of a topic. Each system has quirks, advantages, and disadvantages.
To help find sources, Wikipedians have developed a number of source-finding templates which link to searches most likely to find references suitable for use in articles. The most well-known of these is {{ find sources }} , an inline template which can be used almost anywhere.
Statistical bias exists in numerous stages of the data collection and analysis process, including: the source of the data, the methods used to collect the data, the estimator chosen, and the methods used to analyze the data. Data analysts can take various measures at each stage of the process to reduce the impact of statistical bias in their ...
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A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]