214.423 hasil untuk machine learning
Menampilkan 301–320 · 0,86 detik · RSS
-
Artikel Jurnal Teks lengkap
Predicting glycosylation stereoselectivity using machine learning
Predicting the stereochemical outcome of chemical reactions is challenging in mechanistically ambiguous transformations. The stereoselectivity of glycosylation reactions is influenced by at least eleven factors across four chemical participants and temperature. A random forest algorithm was trained…
-
Artikel Jurnal Teks lengkap
Machine learning in combinatorial polymer chemistry
The design of new functional polymers depends on the successful navigation of their structure-function landscapes. Advances in combinatorial polymer chemistry and machine learning provide exciting opportunities for the engineering of fit-for-purpose polymeric materials.
-
Artikel Jurnal Teks lengkap
Predicting Bitcoin Prices Using Machine Learning
In this paper we predict Bitcoin movements by utilizing a machine-learning framework. We compile a dataset of 24 potential explanatory variables that are often employed in the finance literature. Using daily data from 2nd of December 2014 to July 8th 2019, we build forecasting models that utilize…
-
Artikel Jurnal Teks lengkap
Quantum machine learning with differential privacy
Quantum machine learning (QML) can complement the growing trend of using learned models for a myriad of classification tasks, from image recognition to natural speech processing. There exists the potential for a quantum advantage due to the intractability of quantum operations on a classical…
-
Artikel Jurnal Teks lengkap
Machine Learning-Enhanced Flexible Mechanical Sensing
…complicated data collected by a single sensor or network of sensors. Machine learning (ML) as an important branch of artificial intelligence can efficiently handle such complex data, which can be multi-dimensional and multi-faceted, thus providing a powerful tool for easy interpretation of sensing…
-
Artikel Jurnal Teks lengkap
Machine Learning for Precision Epilepsy Surgery
…the clinical need, the relevant computational science focusing on machine learning, and discusses some specific applications in epilepsy surgery.
-
Artikel Jurnal Teks lengkap
Sparse Machine Learning in Banach Spaces
…mathematics, statistics and engineering the fundamental concept of sparse machine learning in Banach spaces. In particular, we use binary classification as an example to explain the essence of learning in a reproducing kernel Hilbert space and sparse learning in a reproducing kernel Banach space…
-
Artikel Jurnal Teks lengkap
Machine learning and pre-medical education
Machine learning and artificial intelligence (AI)-driven technologies are contributing significantly to various facets of medicine and care management. It is likely that the next generation of healthcare professionals will be confronted with a series of innovations that are powered by AI, and they…
-
Artikel Jurnal Teks lengkap
Machine learning boosts three-dimensional bioprinting
…in improving the printing accuracy in the printing process. Data- driven machine learning algorithms with powerful predictive capabilities have natural advantages in behavior prediction and new model exploration. Combining machine learning algorithms with 3D bioprinting helps to find more efficient…
-
Artikel Jurnal Teks lengkap
Discovery of senolytics using machine learning
…Here, we report the discovery of three senolytics using cost-effective machine learning algorithms trained solely on published data. We computationally screened various chemical libraries and validated the senolytic action of ginkgetin, periplocin and oleandrin in human cell lines under various…
-
Artikel Jurnal Teks lengkap
Predicting mutational function using machine learning
…made to solve this problem using computational approaches, especially machine learning (ML). Here, we review the progress and achievements made in recent years in this field of research. We classify the computational models in two ways: one according to their prediction goals including protein…
-
Artikel Jurnal Teks lengkap
Electrostatic Embedding of Machine Learning Potentials
[Image: see text] This work presents a variant of an electrostatic embedding scheme that allows the embedding of arbitrary machine learned potentials trained on molecular systems in vacuo. The scheme is based on physically motivated models of electronic density and polarizability, resulting in a…
-
Artikel Jurnal Teks lengkap
Primer on Machine Learning in Electrophysiology
Artificial intelligence has become ubiquitous. Machine learning, a branch of artificial intelligence, leads the current technological revolution through its remarkable ability to learn and perform on data sets of varying types. Machine learning applications are expected to change contemporary…
Menampilkan maksimal 50 halaman. Persempit pencarian dengan filter untuk hasil yang lebih spesifik.