Location via proxy:
[ UP ]
[Report a bug]
[Manage cookies]
No cookies
No scripts
No ads
No referrer
Show this form
All
Books
Images
News
Maps
Videos
Shopping
Search tools
Recent
Recent
Past hour
Past 24 hours
Past week
Past month
Past year
Archives
Sorted by relevance
Sorted by relevance
Sorted by date
Studying Complex Adaptive Systems With Internal States: A Recurrence Network Approach to the Analysis of ...
Frontiers
We discuss formal, theoretical, and practical issues with the statistical analysis of multivariate time-series data that represent self-reports of human...
3 weeks ago
Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks
Nature
Predicting the evolution of systems with spatio-temporal dynamics in response to external stimuli is essential for scientific progress.
4 months ago
A New Bayesian Methodology for Nonlinear Model Calibration in Computational Systems Biology
Frontiers
Computational modeling is a common tool to quantitatively describe biological processes. However, most model parameters are usually unknown because they...
2 weeks ago
Automatically discovering ordinary differential equations from data with sparse regression | Communications Physics
Nature
Discovering nonlinear differential equations that describe system dynamics from empirical data is a fundamental challenge in contemporary...
6 months ago
Machine Learning at the Flatiron Institute
Simons Foundation
In recent years machine learning has emerged as an indispensable tool for computational science. It is also an active and growing area of study throughout...
17 months ago
2022 & beyond: Algorithms for efficient deep learning
Google Research
Posted by Sanjiv Kumar, VP and Google Fellow, Google Research (This is Part 4 in our series of posts covering different topical areas of...
17 months ago
Adaptive Locomotion Control of a Hexapod Robot via Bio-Inspired Learning
Frontiers
In this paper, an adaptive locomotion control approach for a hexapod robot is proposed. Inspired from biological neuro control systems, a 3D two-layer...
2 weeks ago
An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized ...
Nature
Randomized clinical trials (RCT) represent the cornerstone of evidence-based medicine but are resource-intensive. We propose and evaluate a...
7 months ago
A complex systems approach to the study of change in psychotherapy - BMC Medicine
BMC Medicine
A growing body of research highlights the limitations of traditional methods for studying the process of change in psychotherapy.
47 months ago
Unraveling the Design Pattern of Physics-Informed Neural Networks: Part 06
Towards Data Science
Welcome to the 6th blog of this series, where we continue our exciting journey of exploring design patterns of physics-informed neural...
12 months ago