In this paper, we propose a new gesture modeling method by combining natural features with logistic regression to recognize continuous natural gestures, which is considered as a challenge. Instead of ...

SRBench: A Living Benchmark for Symbolic Regression The methods for symbolic regression (SR) have come a long way since the days of Koza-style genetic programming (GP).

In this paper the problem of automatic grouping of semiconductor devices by homogeneous production batches is investigated. Algorithms for training logistic regression and an artificial neural network ...

Rankify is a Python toolkit designed for unified retrieval, re-ranking, and retrieval-augmented generation (RAG) research. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7 ...