Abstract: We study the rate region of variable-length source-network codes that are used to compute a function of messages observed over a network. The particular network considered here is the ...
Abstract: Many learning algorithms, such as spectral clustering and manifold learning, need to estimate eigenvalues of graph Laplacian operators defined by a similarity function or a kernel on ...
Graphs of exponential functions and logarithmic functions provide a visual insight into their properties, such as growth, decay, and the inverse relationship between them. Graphs of exponential ...