Results 171 to 180 of about 2,441,680 (241)

Estimating the causal effect of redlining on present-day air pollution. [PDF]

Biometrics
Zhou X, Yang S, Reich BJ.
europepmc   +1 more source

Linguistic Rule Generalisation Creates the Same Distributional Structure That Feeds It. [PDF]

Open Mind (Camb)
Pankratz E, Culbertson J, Kirby S.
europepmc   +1 more source

Effects of a multicomponent sleep enhancement protocol on delirium incidence in elderly critically ill surgical patients: a randomized controlled trial. [PDF]

J Intensive Care
Kitisin N, Lao-Amornphunkul S, Hemtanon N, Thikom N, Phochan N, Thanakiattiwibun C, Chaiwat O, Wongtangman K, Trachuthamcharoen P, Piriyapatsom A, Weinberg L, Serpa Neto A, Raykateeraroj N.   +12 more
europepmc   +1 more source

Leveraging a Bayesian Approach in a Comparative Effectiveness Trial of Major Adverse Cardiovascular Events. [PDF]

Clin Epidemiol
Lwin CT, Roumie CL, Greevy RA, Beck C, Snyder KD, Hackstadt AJ.   +5 more
europepmc   +1 more source

The role of inferior temporal area TEs and posterior parietal area AIP in perceptual decisions about disparity-defined 3D shapes: a choice probability and inactivation study

, 2009
Bram Verhoef, Rufin Vogels, Peter Janssen   +2 more
openalex   +1 more source

Posterior mediastinal mass - probable oesophageal carcinoma

, 2014
openaire   +1 more source

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Posterior Probability Bias

2021
Imagine you are trying to predict the outcome of a fair coin toss. You guess heads and flip your coin. It lands on heads. You decide to try your luck again, keeping with your guess of heads. Again, it lands on heads. You repeat this experiment five more times, continuing with your initial guess and it lands on heads three more times. Delighted that you
Kim Hansen
openaire   +2 more sources

Multiclass Posterior Probability Support Vector Machines

IEEE Transactions on Neural Networks, 2008
Tao, et al have recently proposed the posterior probability support vector machine (PPSVM) which uses soft labels derived from estimated posterior probabilities to be more robust to noise and outliers. Tao, et al's model uses a window-based density estimator to calculate the posterior probabilities and is a binary classifier.
Gonen, M., Tanugur, A.G., Alpaydm, E.
openaire   +4 more sources