Testing Hypotheses of Covariate Effects on Topics of Discourse
ABSTRACT We introduce an approach to topic modeling with document‐level covariates that remains tractable in the face of large text corpora. This is achieved by de‐emphasizing the role of parameter estimation in an underlying probabilistic model, assuming instead that the data come from a fixed but unknown distribution whose statistical functionals are
Gabriel Phelan, David A. Campbell
wiley +1 more source
Autonomous Exploration in Unknown Indoor 2D Environments Using Harmonic Fields and Monte Carlo Integration. [PDF]
Kotsinis D, Karras GC, Bechlioulis CP.
europepmc +1 more source
Bi‐Directional Recurrent Attentional Topic Model Using Flexible Priors
ABSTRACT This article presents extensions to the Bi‐Directional Recurrent Attentional Topic Model (bi‐RATM) framework, a Dirichlet‐based model used in text document analysis. The allocation of topics to a sentence in a document is determined by its content as well as the topics of its neighboring sentences, and the weighting is typically variable. Many
Pantea Koochemeshkian, Nizar Bouguila
wiley +1 more source
The Mathematical Foundation of Post-Quantum Cryptography. [PDF]
Zong C.
europepmc +1 more source
Race‐related research in economics
Abstract Issues of racial justice and economic inequalities between racial and ethnic groups have risen to the top of public debate. Economists' ability to contribute to these debates is based on the body of race‐related research. We study the volume and content of race‐related research in economics.
Arun Advani +4 more
wiley +1 more source
Local linear smoothing for regression surfaces on the simplex using Dirichlet kernels. [PDF]
Genest C, Ouimet F.
europepmc +1 more source
Multi‐Task Learning for Airport Surface Surveillance: A Review
ABSTRACT The rapid growth of air transportation has surpassed the capabilities of traditional airport surveillance methods, such as visual observation and auxiliary equipment (e.g., ADS‐B, MLAT, radar), which struggle to provide all‐area, all‐weather situation awareness.
Daoyong Fu +6 more
wiley +1 more source
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
Structural identifiability of linear-in-parameter parabolic PDEs through auxiliary elliptic operators. [PDF]
Salmaniw Y, Browning AP.
europepmc +1 more source
Agents' Behavior and Interest Rate Model Optimization in DeFi Lending
ABSTRACT Contrasting sharply with traditional money, bond, and bond futures markets, where interest rates emerge organically from participant interactions, DeFi lending platforms employ rule‐based interest rates that are algorithmically set. Thus, the selection of an effective interest rate model (IRM) is paramount for the success of a lending protocol.
Charles Bertucci +4 more
wiley +1 more source

