Results 71 to 80 of about 1,092,620 (284)

Conditional Transformation Models

open access: yes, 2012
The ultimate goal of regression analysis is to obtain information about the conditional distribution of a response given a set of explanatory variables.
Bühlmann   +45 more
core   +1 more source

A Nano‐Interception Strategy for Chronic Heart Failure: Prussian Blue Nanoparticles Disrupt Fibroblast‐Immune Communication via CCL2 Sequestration

open access: yesAdvanced Materials, EarlyView.
A nano‐interception strategy disrupts pathogenic fibroblast–macrophage crosstalk in chronic heart failure. Scalable Prussian blue nanoparticles selectively sequester CCL2 via ultrahigh‐affinity binding, preventing CCR2+ macrophage recruitment and breaking a key fibro‐inflammatory circuit. This approach demonstrates robust efficacy in murine and porcine
Bo Chen   +16 more
wiley   +1 more source

Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis

open access: yesChinese Journal of Mechanical Engineering, 2021
In machinery fault diagnosis, labeled data are always difficult or even impossible to obtain. Transfer learning can leverage related fault diagnosis knowledge from fully labeled source domain to enhance the fault diagnosis performance in sparsely labeled
Yixiao Liao   +4 more
doaj   +1 more source

Testing probability distributions using conditional samples

open access: yes, 2015
We study a new framework for property testing of probability distributions, by considering distribution testing algorithms that have access to a conditional sampling oracle.* This is an oracle that takes as input a subset $S \subseteq [N]$ of the domain $
Canonne, Clement   +2 more
core   +1 more source

Testing Conditional Independence of Discrete Distributions [PDF]

open access: yes2018 Information Theory and Applications Workshop (ITA), 2018
We study the problem of testing \emph{conditional independence} for discrete distributions. Specifically, given samples from a discrete random variable $(X, Y, Z)$ on domain $[\ell_1]\times[\ell_2] \times [n]$, we want to distinguish, with probability at least $2/3$, between the case that $X$ and $Y$ are conditionally independent given $Z$ from the ...
Canonne, Clément L   +3 more
openaire   +4 more sources

In Situ Copper Electroplating Turns Material Extrusion 3D Printers Into Metal–Polymer Hybrid Fabricators

open access: yesAdvanced Materials Technologies, EarlyView.
An in situ electroplating approach for MEX 3D printing is proposed, enabling copper deposition during the fabrication of conductive polymers. The method combines a printer‐integrated plating head, ML‐based g‐code control, and stop‐and‐go printing, achieving near‐bulk copper conductivity and enabling fully embedded, assembly‐free electronic components ...
Gianluca Percoco   +5 more
wiley   +1 more source

Degree Correlation in Scale-Free Graphs

open access: yes, 2013
We obtain closed form expressions for the expected conditional degree distribution and the joint degree distribution of the linear preferential attachment model for network growth in the steady state.
Fotouhi, Babak, Rabbat, Michael G.
core   +1 more source

Reconnaissance Peptide Labeling Grain Boundary of Chemically Grown MoS2 Polycrystalline Monolayer

open access: yesAdvanced Materials Technologies, EarlyView.
Self‐assembled peptides on substrates, through adsorption and aggregation, offer an alternative way to label grain boundaries in chemically grown single‐layer polycrystalline MoS2. During an early nucleation step, peptides preferentially bind to grain boundaries.
Linhao Sun, Jinhua Hu
wiley   +1 more source

Conditional Distributions and Orthogonal Measures

open access: yesThe Annals of Probability, 1981
It is shown that every family of mutually singular measures in a conditional probability distribution is countable or else there is a perfect set of measures which form a strongly orthogonal family. Theorem: Let $X$ and $Y$ be complete separable metric spaces and $\mu$ a conditional probability distribution on $X \times \mathscr{B}(Y)$. Then either (1)
Burgess, John P., Mauldin, R. Daniel
openaire   +3 more sources

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat   +4 more
wiley   +1 more source

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