Driver behavior profiling: An investigation with different smartphone sensors and machine learning Abstract: Driver behavior impacts traffic safety, fuel/energy consumption and gas emissions.
Study of Engineered Features and Learning Features in Machine Learning – A Case Study in Document Classification Abstract:.
Machine Learning Methods to Predict Diabetes Complications Abstract: One of the areas where Artificial Intelligence is having more impact is machine learning, which develops algorithms able to learn patterns and decision rules from data.
Reliability Estimation of Individual Multi-target Regression Predictions Abstract: To estimate the quality of the induced predictive model we generally use measures of averaged prediction accuracy, such as the relative mean squared error on test data.
The Impact of Random Models on Clustering Similarity Abstract: Clustering is a central approach for unsupervised learning.
Learning Scalable Deep Kernels with Recurrent Structure Abstract: Many applications in speech, robotics, finance, and biology deal with sequential data, where ordering matters and recurrent structures are common.
Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers Abstract: There is a large literature explaining why AdaBoost is a successful classifier.