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The Common Data Set (CDS) is an annual product of the Common Data Set Initiative, "a collaborative effort among data providers in the higher education community and publishers as represented by the College Board, Peterson's, and U.S. News & World Report."
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.
Overhead Imagery Research Data Set: Annotated overhead imagery. Images with multiple objects. Over 30 annotations and over 60 statistics that describe the target within the context of the image. 1000 Images, text Classification 2009 [166] [167] F. Tanner et al. SpaceNet SpaceNet is a corpus of commercial satellite imagery and labeled training data.
Based on data from Scopus, this indicators explore about 8 million records of scientists’ citations in order to rank a subset of 200,000 most-cited authors across all scientific fields. This is commonly referred to as Stanford ranking of the 2% best scientists. [3] The ranking is achieved via a composite indicator built on six citation metrics
Advisors suggest one method to get information about specific schools is to search online and use the Common Data Set: The Common Data Set is a document that four-year schools across the country complete that contains lots of information on such topics as admission criteria, freshman academic profile, campus safety and transfer admissions. You ...
NEW YORK, Nov. 07, 2024 (GLOBE NEWSWIRE) -- Stanford Markets today unveiled a new suite of tools designed to support investor decision-making through greater transparency and accessible data. The new offering combines real-time data insights with options for sustainable investing, aiming to help investors of all levels gain a clearer view of ...
Meta CEO Mark Zuckerberg on Tuesday said the social media company is ending its fact-checking program and replacing it with a community-driven system similar to that of Elon Musk's X.
The Stanford Institute for Human-Centered Artificial Intelligence's (HAI) Center for Research on Foundation Models (CRFM) coined the term "foundation model" in August 2021 [16] to mean "any model that is trained on broad data (generally using self-supervision at scale) that can be adapted (e.g., fine-tuned) to a wide range of downstream tasks". [17]