Results 151 to 160 of about 3,875,166 (215)
ManyBabies 3: A Multi‐Lab Study of Infant Algebraic Rule Learning
ABSTRACT The ability to learn and apply rules lies at the heart of cognition. In a seminal study, Marcus et al. (1999) reported that 7‐month‐old infants learned abstract rules over syllable sequences and were able to generalize those rules to novel syllable sequences.
Ingmar Visser +83 more
wiley +1 more source
The Group-Algebraic Formalism of Quantum Probability and Its Applications in Quantum Statistical Mechanics. [PDF]
Gu Y, Wang J.
europepmc +1 more source
Robust CDF‐Filtering of a Location Parameter
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania +2 more
wiley +1 more source
ABSTRACT This article contributes to the history of material culture and intellectual biography by definitively identifying the Paduan scholar Matteo Macigni (ca. 1510–1582) as the author of the annotations found in a 1535 copy of Albrecht Dürer’s Institutionum geometricarum currently preserved in Vicenza.
Laura Moretti
wiley +1 more source
On the structural identifiability of nonlinear models of ligand binding dynamics. [PDF]
White C, Rottschäfer V, Bridge L.
europepmc +1 more source
Discrete homotopy hypothesis for n$n$‐types
Abstract We show that discrete and classical homotopy theories are equivalent after localizing at n$n$‐equivalences for any non‐negative integer n$n$. By constructing an explicit homotopy inverse to the graph nerve functor associating an n$n$‐fibrant cubical set to a graph, we are also able to give explicit computations of several previously unknown ...
Daniel Carranza, Krzysztof Kapulkin
wiley +1 more source
From Quantum Time to Manifestly Covariant QFT: On the Need for a Quantum-Action-Based Quantization. [PDF]
Diaz NL.
europepmc +1 more source
ABSTRACT Dimensionality reduction is essential in simulation‐based shape design, where high‐dimensional parameterizations hinder optimization, surrogate modeling, and systematic design‐space exploration. Parametric Model Embedding (PME) addresses this issue by constructing reduced variables from geometric information while preserving an explicit ...
Andrea Serani +2 more
wiley +1 more source
Quantum-enhanced deep learning for elastographic image-based characterization of cutaneous and subcutaneous masses. [PDF]
Zhang H.
europepmc +1 more source

