A new corpus of 108 mixed string-numeric tables shows that advanced tabular learners with basic string embeddings perform well on most real-world data, while large LLM encoders help on free-text heavy tables.
and Cadima, Jorge , title =
10 Pith papers cite this work. Polarity classification is still indexing.
10
Pith papers citing it
citation-role summary
background 2
citation-polarity summary
years
2026 10verdicts
UNVERDICTED 10roles
background 2polarities
background 2representative citing papers
Presents a quantum soft PCA framework with Fermi-Dirac filter for principal subspace scoring without eigenvector recovery, claiming dimension-independent sample complexity O(η^{-2}).
Intrinsic dimension of quantum trajectories serves as an unsupervised probe sensitive to chaos, integrability, and ergodicity breaking in dissipative quantum systems.
A new GPU-oriented batch SVD solver based on the one-sided Jacobi method delivers significant speedups over vendor libraries and prior open-source implementations across precisions and matrix shapes.
DIVE proposes a dimensionality-reduction adapter using self-limiting gradients and implicit view ensembles that outperforms prior adapters on all six BEIR datasets at every tested compression ratio.
In one Parkinson patient, higher occlusion produced the smallest longitudinal shift in PCA gait latent space over 11 weeks while immediate performance stayed comparable, supporting a viability level focused on sustained organization.
Converting percentage scores to A/B/C/D grades reduces information entropy by 69 percent, makes optimal student clusters sensitive to single data points, and drops temporal diagnostic consistency from 93-96 percent to 52-96 percent.
TBER describes representational emergence as a five-stage bootstrap process triggered by explanatory insufficiency in AI, biology, and science.
In one Parkinsonian subject, a neural network approximates the observed shift in PCA gait latent space between two sessions across six occlusal conditions.
A conceptual bootstrap framework with five levels is introduced to derive increasingly informative latent representations from performance data in adaptive biological systems, illustrated via prior gait studies.
citing papers explorer
-
Complexity of Quantum Trajectories
Intrinsic dimension of quantum trajectories serves as an unsupervised probe sensitive to chaos, integrability, and ergodicity breaking in dissipative quantum systems.