An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
Abstract: This study examines logit models applied to the truck route choice problem using GPS trucking data from the Dallas metropolitan area. Instead of assuming a constant coefficient for each ...
Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...
Abstract: This article presents a novel deep learning model, the Attentive Bayesian Multi-Stage Forecasting Network (ABMF-Net), designed for robust forecasting of electricity price (USD/MWh) and ...
We use Bayesian meta-analysis methods to estimate the impact of unconditional cash transfers (UCTs). Aggregating evidence from 115 studies of 72 UCT programs in middle and low income countries, we ...
In this work we present two main contributions: the first one is a Python implementation of the discrete approximation of the Laplace-Beltrami operator (LBO) (Belkin et al., 2008) allowing us to solve ...
Incrementality testing in Google Ads is suddenly within reach for far more advertisers than before. Google has lowered the barriers to running these tests, making lift measurement possible even ...
Note that Python version 3.9.2 might be required for compatilibity with the numba package (on March 2022). Note that the latest Python version (3.13) is currently not ...
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