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Crop improvement using life cycle datasets acquired under field conditionsUnsupervised Decoding of Long-Term, Naturalistic Human Neural Recordings with Automated Video and Audio AnnotationsBig data and tactical analysis in elite soccer: future challenges and opportunities for sports scienceInteractive machine learning for health informatics: when do we need the human-in-the-loop?Big data integration shows Australian bush-fire frequency is increasing significantlyEconomic reasoning and artificial intelligence.Identifying network-based biomarkers of complex diseases from high-throughput data.Discovering governing equations from data by sparse identification of nonlinear dynamical systems.Use of big data for drug development and for public and personal health and care.The need to approximate the use-case in clinical machine learningPredicting the outcomes of organic reactions via machine learning: are current descriptors sufficient?Predicting two-year survival versus non-survival after first myocardial infarction using machine learning and Swedish national register data.Forecast Modelling via Variations in Binary Image-Encoded Information Exploited by Deep Learning Neural Networks.Methods, caveats and the future of large-scale microelectrode recordings in the non-human primate.Study protocol of the ASD-Net, the German research consortium for the study of Autism Spectrum Disorder across the lifespan: from a better etiological understanding, through valid diagnosis, to more effective health care.Whole Brain Imaging with Serial Two-Photon Tomography.Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records.Genome-wide prediction using Bayesian additive regression trees.MediBoost: a Patient Stratification Tool for Interpretable Decision Making in the Era of Precision MedicineRecommending teams promotes prosocial lending in online microfinance.Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View.Predicting patient 'cost blooms' in Denmark: a longitudinal population-based study.Implementation of Genomic Prediction in Lolium perenne (L.) Breeding Populations.Compositional Dynamics: Defining the Fuzzy Cell.Science and data science.Predicting Locations of High-Risk Plaques in Coronary Arteries in Patients Receiving Statin Therapy.Open source software for automatic detection of cone photoreceptors in adaptive optics ophthalmoscopy using convolutional neural networks.Small Genetic Circuits and MicroRNAs: Big Players in Polymerase II Transcriptional Control in Plants.Deep learning for healthcare: review, opportunities and challenges.Molecular assessment of disease states in kidney transplant biopsy samples.Forty years of structural imaging in psychosis: promises and truth.Clinical Decision Support: a 25 Year Retrospective and a 25 Year Vision.Improving scoring-docking-screening powers of protein-ligand scoring functions using random forest.Identification of autism spectrum disorder using deep learning and the ABIDE dataset.The Research of Clinical Decision Support System Based on Three-Layer Knowledge Base Model.Classical Statistics and Statistical Learning in Imaging Neuroscience.Predictive analytics in mental health: applications, guidelines, challenges and perspectives.Predicting Long-Term Cognitive Outcome Following Breast Cancer with Pre-Treatment Resting State fMRI and Random Forest Machine Learning.Deep learning for cardiac computer-aided diagnosis: benefits, issues & solutions.An introduction and overview of machine learning in neurosurgical care.
P2860
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P2860
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Machine learning: Trends, perspectives, and prospects.
@en
type
label
Machine learning: Trends, perspectives, and prospects.
@en
prefLabel
Machine learning: Trends, perspectives, and prospects.
@en
P356
P1433
P1476
Machine learning: Trends, perspectives, and prospects.
@en
P2093
M I Jordan
T M Mitchell
P304
P356
10.1126/SCIENCE.AAA8415
P407
P577
2015-07-01T00:00:00Z