Results 171 to 180 of about 1,549,528 (298)
In elementary probability, the conditional probability of an event A given an event B is the ratio P(A ∩ B)/P(B), provided P(B)>0. Visualize the events as plane regions (rectangles here) and their probabilities as the areas of those regions.
Boucher, Chris
core
Personalized PHQ-9 test length using probability density estimation based on conditional probability and K-Nearest Neighbours. [PDF]
Abdulhussein Z +2 more
europepmc +1 more source
Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo +3 more
wiley +1 more source
Conditional Probability of Observing a Poor Night According to Sleep Depth Among Individuals With Insomnia. [PDF]
Laroche D, Vallières A, Bastien CH.
europepmc +1 more source
Incomplete microwave ablation induces animmunosuppressive microenvironment in tumor‐draining lymph nodes. An albumin‐based lipoprotein nanosystem enables coordinated delivery of immunomodulators to tumor‐draining lymph nodes and residual tumors, reverses post‐ablation immunosuppression, suppresses residual tumor growth, and promotes durable antitumor ...
Xuexia Shan +14 more
wiley +1 more source
Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation
A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang +6 more
wiley +1 more source
Nonparametric Tests of Conditional Treatment Effects [PDF]
We develop a general class of nonparametric tests for treatment effects conditional on covariates. We consider a wide spectrum of null and alternative hypotheses regarding conditional treatment effects, including (i) the null hypothesis of the ...
Sokbae Lee, Yoon-Jae Whang
core
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Natural frequency tree- versus conditional probability formula-based training for medical students' estimation of screening test predictive values: a randomized controlled trial. [PDF]
Kim S, Kim S, Choi YJ, Do YK.
europepmc +1 more source
Population coding of conditional probability distributions in dorsal premotor cortex. [PDF]
Glaser JI +4 more
europepmc +1 more source

