Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Lutz, Quentin"'
Publikováno v:
NeurIPS 2021
Gathering training data is a key step of any supervised learning task, and it is both critical and expensive. Critical, because the quantity and quality of the training data has a high impact on the performance of the learned function. Expensive, bec
Externí odkaz:
http://arxiv.org/abs/2110.14521
Publikováno v:
Journal of Machine Learning Research, Microtome Publishing, In press
Scikit-network is a Python package inspired by scikit-learn for the analysis of large graphs. Graphs are represented by their adjacency matrix in the sparse CSR format of SciPy. The package provides state-of-the-art algorithms for ranking, clustering
Externí odkaz:
http://arxiv.org/abs/2009.07660