Results 231 to 240 of about 36,020 (306)
Characterizations of Conditional Expectations
openaire +2 more sources
The Challenge of Handling Structured Missingness in Integrated Data Sources
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson +6 more
wiley +1 more source
Three-Dimensional Extended Target Tracking and Shape Learning Based on Double Fourier Series and Expectation Maximization. [PDF]
Mao H, Yang X.
europepmc +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Bridging policy and practice in smart clinical trials: Quantifying regulatory friction and technology adoption in Korea and the UK. [PDF]
Yang JE, Kim AR.
europepmc +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
AMCP Market Insights: Payer best practices for timely diagnosis and optimal management of idiopathic hypersomnia. [PDF]
Flavin B +6 more
europepmc +1 more source
Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields
Gideon Mann, Andrew McCallum
openalex +1 more source
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez +19 more
wiley +1 more source

