Results 101 to 110 of about 160,660 (307)
, 2002 Suppose that there are n states, each denoted by i2f1; 2; : : : ng. This paper shows that the function [p ijE ] i2E 7! [ j 6=i p ijfi;jg ] i is a homeomorphism from the set of conditional probability systems onto the convex hull of all permutations of
Peter A. Streufert +1 more
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What Are Conditional Probabilities Conditional Upon? [PDF]
The British Journal for the Philosophy of Science, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Advanced Science, EarlyView.This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu +6 more
wiley +1 more source
Advanced Science, EarlyView.Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu +5 more
wiley +1 more source
Graphical Bayesian models in multivariate expert judgements and conditional external Bayesianity [PDF]
This thesis addresses the multivariate version of the group decision problem (French, 1985), where the opinions about the possible values of n random variables in a problem, expressed as subjective conditional probability density functions of the k ...
Faria, Alvaro Eduardo
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Discriminator‐Guided Inverse Folding for Multi‐Property Protein Design
Advanced Science, EarlyView.Discriminator‐Guided Inverse Folding (DGIF) integrates multiple property predictors trained from single‐property datasets to guide protein sequence generation from a backbone structure. DGIF enables simultaneous improvement of thermostability and solubility without requiring multi‐property annotated datasets and generates designs that move toward the ...
Yuchuan Zheng +7 more
wiley +1 more source
Nonparametric tests of conditional treatment effects [PDF]
, 2009 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 ...
Whang, Yoon-Jae +5 more
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Maxwell’s coefficients are conditional probabilities [PDF]
Proceedings of the American Mathematical Society, 1974 The capacitance coefficients of electrostatics are represented as conditional probabilities associated with Brownian motion. It follows, as an immediate consequence, that these coefficients depend monotonically on their domains.
openaire +2 more sources
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
Advanced Science, EarlyView.This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source
Conditional probability and ratio-based approaches for mapping the coverage of multi-dose vaccines. [PDF]
Stat Med, 2022 Utazi CE +4 more
europepmc +1 more source