Results 51 to 60 of about 7,757,311 (314)
Approximate Kernel-Based Conditional Independence Tests for Fast Non-Parametric Causal Discovery
Journal of Causal Inference, 2019 Constraint-based causal discovery (CCD) algorithms require fast and accurate conditional independence (CI) testing. The Kernel Conditional Independence Test (KCIT) is currently one of the most popular CI tests in the non-parametric setting, but many ...
Strobl Eric V. +2 more
doaj +1 more source
Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Gaussian Control Barrier Functions: Non-Parametric Paradigm to Safety
IEEE Access, 2022 Inspired by the success of control barrier functions (CBFs) in addressing safety, and the rise of data-driven techniques for modeling functions, we propose a non-parametric approach for online synthesis of CBFs using Gaussian Processes (GPs). A dynamical
Mouhyemen A. Khan +2 more
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FEBS Letters, EarlyView.The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source
Keyed Non-Parametric Hypothesis Tests
CoRR, 2020 The recent popularity of machine learning calls for a deeper understanding of AI security. Amongst the numerous AI threats published so far, poisoning attacks currently attract considerable attention. In a poisoning attack the opponent partially tampers the dataset used for learning to mislead the classifier during the testing phase.
Yao Cheng +4 more
openaire +2 more sources
[19] J. D. Gibson and M. L. Melsa, Introduction to Non-Parametric Detection [PDF]
, 2008 [16] H. V. Poor and M. Tanda, “Multiuser detection in impulsive channels,” Ann. Telecommun., vol. 54, pp. 392–400, Jul./Aug. 1999. [17] P. J. Huber, Robust Statistics. New York: Wiley, 1981. [18] B. Seyfe and A. R.
New York +7 more
core
A Novel Non-Parametric Spatiotemporal Scan Statistic: An Application to Detect Disease Outbreaks
Applied Sciences, 2022 The majority of the widely used scan statistics are based on distributional assumptions. Contrary to the existing methods, with a new perspective in clustering, the Mann-Whitney Scan Statistic was introduced to detect clusters in continuous data indexed ...
Kethmi H. Hettige +1 more
doaj +1 more source
FEBS Letters, EarlyView.We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
Non-parametric regression between manifolds [PDF]
, 2008 This paper discusses non-parametric regression between Riemannian manifolds. This learning problem arises frequently in many application areas ranging from signal processing, computer vision, over robotics to computer graphics.
Hein, Matthias +3 more
core
A hierarchical approach to 3D non-parametric surface relief completion [PDF]
, 2012 Typical stereo and laser scan based 3D acquisition approaches are essentially limited to 2.5D capture. The resulting 3D completion problem, to derive missing information in 2.5D scenes from limited contextual information, has received increasing ...
Fisher, Robert B. +5 more
core +1 more source