Files, Jan Vanthienen, "Decision diagrams in machine learning: an empirical study on real-life credit-risk data", Expert Systems with Applications, vol. 27, 257-264, 2004.Christophe Mues,Bart Baesens,Craig M Files,Jan Vanthienen.Decision Diagrams in Machine Learning: an Empirical Study on ...
Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization Credit card fraud detection is a very challenging problem because of the specific nature of transaction data and the labeling process. The transaction data... F Carcillo,Yann-Ael Le Borgne,O ...
⭐ 总星标数量:17k 日增长数量:507⭐ 上周增长数量:522⭐ 上月增长数量:664⭐ 开源时间:2020-11-30 项目描述: A ranked list of awesome machine learning Python libraries. Updated weekly.3. 优雅的JSON数据可视化工具 github.com/AykutSarac/j ⭐ 总星标数量:32.9k 日增长数量:273⭐ 上周增长数...
While density functional theory (DFT) provides accurate predictions for many systems, its computational overheads set a throughput limit on the number of hypothetical phases that can be probed. Here, we demonstrate how an ensemble of machine-learning spectral neighbor-analysis potentials (SNAPs) can ...
Machine learning (ML) has become widely used in various fields32, including constructing models for thermal conversion processes33,34. In most of the reported ML studies of thermal processes, the constructed ML model can predict the output from given input parameters with a coefficient of determinat...
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Based on theory in statistical learning and machine learning [4, 41,42,43] it was assessed whether the type of model (causal, correlational or deductive) is suitable for the model’s purpose. For example, when the model should be able to make predictions involving interventions in the X ...
Machine learning cheat sheetThis cheat sheet contains many classical equations and diagrams on machine learning, which will help you quickly recall knowledge and ideas on machine learning.The cheat sheet will also appeal to someone who is preparing for a job interview related to machine learning....
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