In the high-stakes arena of corporate strategy, where million-dollar decisions are sometimes made over lukewarm coffee and passive-aggressive slide decks, decision-making isn’t just king ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Graph Model: A representation of conflict scenarios as a network of nodes and edges, where nodes denote possible states and edges represent transitions due to decision makers’ actions.

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 ...

This paper presents consensus based multi-person decision making (MPDM) using consistency graphs (additive consistent and order consistent) in a fuzzy environment. At the first level, consistency ...

An open source python library for non-linear piecewise symbolic regression based on Genetic Programming ... an automated piece-wise non-linear regression method based on decision tree and genetic ...

Due to their many benefits, decision trees are extensively utilized to solve a variety of classification problems in the real world. Consequently, creating efficient and effective decision trees ...