Results 301 to 310 of about 651,158 (349)

Field-based evaluation of multi-strain PGPR to improve zea mays yield and soil nutrient dynamics in semi-arid of Türkiye. [PDF]

Sci Rep
Kurt PO.
europepmc   +1 more source

Rapid Assessment of Virtually Synthesizable Chemical Structures via Support Vector Machine Models. [PDF]

Mol Inform
Iwasaki Y, Miyao T.
europepmc   +1 more source

Combination of machine learning and Raman spectroscopy for prediction of drug release in targeted drug delivery formulations. [PDF]

Sci Rep
Mahdi WA, Alhowyan A, Obaidullah AJ.
europepmc   +1 more source

Impact of Deep Learning-Based Image Conversion on Fully Automated Coronary Artery Calcium Scoring Using Thin-Slice, Sharp-Kernel, Non-Gated, Low-Dose Chest CT Scans: A Multi-Center Study. [PDF]

Korean J Radiol
Kim C, Hong S, Choi H, Yoo WS, Kim JY, Chang S, Park CH, Hong SJ, Yang DH, Yong HS, van Assen M, De Cecco CN, Suh YJ.   +12 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

A Kernel Two-Sample Test

Journal of machine learning research, 2012
We propose a framework for analyzing and comparing distributions, which we use to construct statistical tests to determine if two samples are drawn from different distributions.
A. Gretton, Karsten M. Borgwardt, M. Rasch, B. Scholkopf, Alex Smola   +4 more
semanticscholar   +1 more source

An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods

The AI Magazine, 2001
This book is an introduction to support vector machines and related kernel methods in supervised learning, whose task is to estimate an input-output functional relationship from a training set of examples.
Tong Zhang
semanticscholar   +1 more source

Kernel-Based Object Tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003
A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
D. Comaniciu, Visvanathan Ramesh, P. Meer   +2 more
semanticscholar   +1 more source

Kernel methods for estimating the utilization distribution in home-range studies

, 1989
In this paper kernel methods for the nonparametric estimation of the utilization distribution from a random sample of locational observations made on an animal in its home range are described.
B. Worton
semanticscholar   +1 more source