Abstract: High-precision sea surface significant wave height (SWH) data are crucial for advancing oceanic shipping and marine resource development. In this study, we conducted a comparative analysis ...
Learn the differences between the perpetuity growth model and the exit approach for calculating terminal value in DCF ...
Discover how Hyperbolic Absolute Risk Aversion models risk tolerance, influences investment choices, and simplifies financial ...
Abstract: The escalating diversity of Internet of Things (IoT) devices has intensified security challenges, as signature-based and heavyweight machine learning (ML) defenses often fall short in ...
This valuable study introduces a model to help researchers understand how multivariate processes affect observed relationships in genetic data. The authors provide a tool to estimate model parameters.
The AERCA algorithm performs robust root cause analysis in multivariate time series data by leveraging Granger causal discovery methods. This implementation in PyTorch facilitates experimentation on ...
Bank marketing ML model (92% ROC-AUC) with XGBoost + Platt scaling. EDA-driven binning, handles 93% class imbalance, addresses data leakage & selection bias. 16 docs covering nuances & business impact ...
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