Results 251 to 260 of about 131,003 (284)
Some of the next articles are maybe not open access.
Naive Feature Selection: Sparsity in Naive Bayes
2020Due to its linear complexity, naive Bayes classification remains an attractive supervised learning method, especially in very large-scale settings. We propose a sparse version of naive Bayes, which can be used for feature selection. This leads to a combinatorial maximum-likelihood problem, for which we provide an exact solution in the case of binary ...
Askari, Armin +2 more
openaire +1 more source
Post-gastrulation synthetic embryos generated ex utero from mouse naive ESCs
Cell, 2022Jacob H Hanna
exaly
Data Science and Knowledge Engineering for Sensing Decision Support, 2018
Mujiexin Liu +3 more
openaire +1 more source
Mujiexin Liu +3 more
openaire +1 more source
Traditional event models underlying naive Bayes classifiers assume probability distributions that are not appropriate for binary data generated by human behaviour. In this work, we develop a new event model, based on a somewhat forgotten distribution created by Kenneth Ted Wallenius in 1963. We show that it achieves superior performance using less data
Junque de Fortuny, Enric +2 more
openaire +1 more source
Junque de Fortuny, Enric +2 more
openaire +1 more source
Principles of signaling pathway modulation for enhancing human naive pluripotency induction
Cell Stem Cell, 2021Jonathan Bayerl, Tom Shani, Ohad Gafni
exaly