A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualisation similarly to t-SNE, but also for general non-linear dimension reduction. The ...
Abstract: Transcendental functions are commonly used in many fields such as nonlinear functions of artificial neural networks (ANNs). Due to nonlinearity of these functions, hardware implementation of ...
Abstract: Integrated structural-electromagnetic (EM) optimization design is of great importance in the area of antenna design. The quick and exact calculation of patterns for distorted reflectors is ...
The area of approximation algorithms is aimed at giving provable guarantees on the performance of heuristics for hard problems. The course will present general techniques (such as convex ...
Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...
Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Investopedia / Julie Bang Dollar duration, known as DV01, helps assess how a ...
Adequate mathematical modeling is the key to success for many real-world projects in engineering, medicine, and other applied areas. Once a well-suited model is established, it can be thoroughly ...
The control of general nonlinear systems is a challenging task in particular for large-scale models as they occur in the semi-discretization of partial differential equations (PDEs) of, say, fluid ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Your browser does not support the audio element. In this post, we will talk about the Universal approximation theorem and we will also prove the theorem graphically ...