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3 results for “Hidden Data Mining”
BRAIN Journal-High Performance Data mining by Genetic Neural Network-Figure 5. Insertion and Deletion Hidden Layer in NN
<p>Change in NN structure is other method that we used to optimization of solution[18].<br> Insertion a hidden layer caused to mutation operator is much natural. As connection with father and<br> mother nodes is easily[20],[21]. Weights of node and errors automatically calculated.<br> For each stage of the implementation of the mutation operator in genetic algorithms, neural<br> networks, only one of the nodes in the hidden layer is selected and inserted. These layers are<br> inserted on condition that the definition does not harm the network structure and the action is<br> meaningful. As an added layer can adjust the weights and the connection to the parent node of a network<br> layer to be removed.</p>
Data from: Feature sequence-based genome mining uncovers the hidden diversity of bacterial siderophore pathways
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International Journal of Hidden Data Mining and Scientific Knowledge Discovery
<p>Welcome to the first issue of the International Journal of Hidden Data Mining and Scientific Knowledge Discovery: http://scholarpage.org/journal</p> <p>We decided to use the following acronym HDSKD for the journal. Hidden data represents data or information that is more or less hidden, unseen or encrypted so that it becomes difficult to extract it. Scientific knowledge represents every information that comes by a scientific way, such as theories, experimental observations or scientific evidences of some phenomenon. The last term in the journal title, namely "Discovery" has a great importance, since it means that we are looking for scientific information particularly and hidden data in general.<br /> Authors are encouraged to submit their latest research results to the HDSKD journal Hence, we are proud to announce the opening of our first journal issue in hidden data mining and scientific knowledge discovery (a peer reviewed journal) and encourage authors to submit their latest research results to HDSKD.<br /> The criteria of selection are based on the review decision, which will lead to the acceptance or reject of the paper.<br /> The readers’ comments are also welcome and everyone is invited to read or download the papers for a scientific or academic purposes. The journal is a non-profit academic source of knowledge and does not permit any commercial use of the articles.</p> <p><br /> The Editorial Board</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.