Evidence from Africa -- Part 2: Financial Risk Prediction using Machine Learning -- 5. Using Outlier Modification Rule for … Support Vector Machine and Logit Support Vector Machine -- 7. Predicting Corporate Failure using Ensemble Extreme Learning … Development for Predicting the Crude Oil Price: Comparative Evaluation of Ensemble and Machine Learning Methods -- part 4 …

machine learning. We propose a novel adjusted learning algorithm based on peak price tracking for OLPS to tackle this … challenge. The algorithm is based on an aggressive strategy with residual information and transaction costs. We first propose an … adjusted online portfolio selection algorithm using Peak Price Tracking Approach (PPTA) to improve the accuracy of return …

We compare forecasts from different adaptive learning algorithms and calibrations applied to US real-time data on …

algorithm. This solution efficiently determines the best machine learning model parameters from an infinite design space … biochar for heavy metals in soil, we proposed a novel approach based on machine learning models optimized by the Bayesian … learning models, with the random forest model exhibiting the best results (R2 = 0.998; RMSE = 0.027). Importance analysis of …