We compared our new algorithm, called General Value Function Outlier Detection (GVFOD), to existing methods for outlier detection in multivariate data. As GVFOD uses reinforcement learning methods, we ...

Anomaly detection on multivariate key performance indicators (KPIs) is a key procedure for the quality and reliability of large-scale cyber-physical systems (CPSs). Although extensive efforts have ...

Sketch derived, inverse or other related functions using graph translations. Complete the square and find composite functions for Higher Maths.

mvsp is a Python implementation of the protocols presented in Quantum state preparation for multivariate functions. The protocols are based on function approximations with finite Fourier or Chebyshev ...

GRIN is a graph-based, bidirectional, recurrent neural network which aims to reconstruct the input sequence by leveraging on both the temporal and spatial dimensions. GRIN reconstructs missing data in ...

KAlgebra also has the capability for 3D graphing, which isn't as common. Click the 3D Graph tab to show a new graphing pane, which takes up the entire window. Figure 4. KAlgebra has the ability to do ...

In nonparametric multivariate regression analysis, we seek methods to reduce the dimensionality of the regression function to bypass the difficulty caused by the curse of dimensionality. The original ...

This journal, begun in 1943 as Mathematical Tables and Other Aids to Computation, publishes original articles on all aspects of numerical mathematics, book reviews, mathematical tables, and technical ...