by instadatahelp | Sep 5, 2023 | AI Blogs
On Tilted Losses in Machine Learning: Theory and Applications Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith; 24(142):1−79, 2023. Abstract Exponential tilting is a technique commonly employed in statistics, probability, information theory, and optimization to...
by instadatahelp | Sep 5, 2023 | AI Blogs
HiClass: a Python Library for Local Hierarchical Classification Compatible with Scikit-learn Authors: Fábio M. Miranda, Niklas Köhnecke, Bernhard Y. Renard; Publication Date: 24(29):1−17, 2023. Abstract HiClass is a Python library for local hierarchical classification...
by instadatahelp | Sep 5, 2023 | AI Blogs
Large sample spectral analysis of graph-based multi-manifold clustering Authors: Nicolas Garcia Trillos, Pengfei He, Chenghui Li; Journal of Machine Learning Research (JMLR), 24(143):1−71, 2023. Abstract This study focuses on the statistical properties of graph-based...
by instadatahelp | Sep 5, 2023 | AI Blogs
Efficient Learning Using Sufficient Labels: Labels, Information, and Computation Authors: Shiyu Duan, Spencer Chang, Jose C. Principe; Published in 2023, Volume 24(31):1−35. Abstract Supervised learning often requires a large amount of fully-labeled training data,...
by instadatahelp | Sep 5, 2023 | AI Blogs
Overcoming the Curse of Dimensionality in Bayesian Model-Based Clustering Noirrit Kiran Chandra, Antonio Canale, David B. Dunson; 24(144):1−42, 2023. Abstract When clustering high-dimensional data, Bayesian mixture models are commonly used to provide uncertainty...
