How to Build a Burn Up Chart to Improve Project Visibility

Discover the power of a burn up chart. See examples, learn how to create one, and track scope, progress, and team performance ...
IEEE

Probabilistic Neural Network With Complex Exponential Activation Functions in Image Recognition

Abstract: If the training data set in image recognition task is not very large, the feature extraction with a convolutional neural network is usually applied. Here, we focus on the nonparametric ...
IEEE

Graph Laplacian Learning With Exponential Family Noise

Abstract: Graph signal processing (GSP) is a prominent framework for analyzing signals on non-Euclidean domains. The graph Fourier transform (GFT) uses the combinatorial graph Laplacian matrix to ...
SiliconANGLE

Neo4j integrates dozens of graph analytics functions with data in Snowflake

Graph database vendor Neo4j Inc. is teaming up with Snowflake Inc. to make a library of Neo4j’s graph analytics functions available in the Snowflake cloud. The deal announced today allows users to ...
marktechpost

Gradformer: A Machine Learning Method that Integrates Graph Transformers (GTs) with the Intrinsic Inductive Bias by Applying an Exponential Decay Mask to the Attention Matrix

Graph Transformers (GTs) have successfully achieved state-of-the-art performance on various platforms. GTs can capture long-range information from nodes that are at large distances, unlike the local ...
Interesting Engineering

Is graph theory the key to understanding the brain?

Graph theory is the study of networks and connections between variables. In the real world it has uses from powering search engine algorithms to fixing airline scheduling. Now, scientists are using it ...