In statistical machine learning, avoiding density estimation is essential because it is often more difficult than solving a target machine learning problem itself. This is often referred to as Vapnik's principle, and the support vector machine is one of the successful realizations of this principle....
Most meat scientists adopt a reductionist approach to the study of meat toughness, taking a few intramuscular cores from one or more muscles to simplify the enormous complexity of toughness in all the retail cuts derived from a whole carcass. This is a valid approach to a complex problem, but...
Code for Local Deep Learning Models for Cardinality Estimation machine-learningcardinality-estimation UpdatedApr 4, 2022 Python An implementation of the algorithms presented in the paper "Cardinality Estimation Done Right: Index-Based Join Sampling" ...
visualizationmachine-learningcomputer-visiondeep-learningmnistcifar10imageclassificationage-estimation UpdatedMar 12, 2022 Python A Lightweight and Efficient Method for Face Age and Gender Estimation Implemented in MXNet mxnetage-estimationgender-prediction ...
Sex estimation is extremely important in the analysis of human remains as many of the subsequent biological parameters are sex specific (e.g., age at death, stature, and ancestry). When dealing with incomplete or fragmented remains, metric analysis of the tarsal bones of the feet has proven ...
Double Q-learning is a classical method for reducing overestimation bias, which is caused by taking maximum estimated values in the Bellman operation. Its variants in the deep Q-learning paradigm have shown great promise in producing reliable value prediction and improving learning performance. However...
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. About this article Cite this article Toy, S., Secgin, Y., Oner, Z.et al.A study on sex estimation by using machine learning algorithms with parameters obtained from computerized ...
Consequently, fetal ultrasound late in pregnancy has a wide margin of error of at least ±2 weeks’ gestation. Here, we utilise state-of-the-art machine learning methods to estimate gestational age using only image analysis of standard ultrasound planes, without any measurement information. The ...
As shown in Table3, the recorded sequences exhibit a high class imbalance, caused by the dominance of the OFF status. Class imbalance is a well-known problem in Machine Learning [6,12] and must be properly addressed. On the one hand, one can attempt to establish a class balance acting ...
His research interests include machine learning, computer vision, and multimedia information retrieval. Xiao Bai received the B.Eng. degree in computer science from Beihang University of China, Beijing, China, in 2001, and the Ph.D. degree in computer science from the University of York, York,...