Most security teams think of NTFS junctions and symbolic links as niche file system features. They let one directory point to another, like a shortcut that the OS treats as real. They exist for ...

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...

“You are tasked with writing a sophisticated, technically grounded article for HackerNoon that argues for recursive prompt engineering—where LLMs generate their own optimized prompts before executing ...

According to God of Prompt on Twitter, MIT researchers have introduced a new prompt engineering technique called 'Recursive Meta-Cognition' that enables ChatGPT to reason like a team of experts rather ...

We developed a novel algorithm to train robust decision tree based models (notably, Gradient Boosted Decision Tree). This repo contains our implementation under the XGBoost framework. We plan to merge ...

Deep learning approaches to 3D shape segmentation are typically formulated as a multi-class labeling problem. Existing models are trained for a fixed set of labels, which greatly limits their ...

1 Department of Computer Science, College of Computer, Qassim University, Buraydah, Saudi Arabia. 2 MARS Research Laboratory LR17ES05, University of Sousse, Sousse, Tunisia. Currently, social ...

Abstract: A reduced complexity symbolwise maximum a posteriori probability (MAP) decoding algorithm for linear block codes is presented. This algorithm is based on the recursive trellises and performs ...