Results 211 to 220 of about 2,701,936 (269)

Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models. [PDF]

Mach Learn
Ai L, Muggleton SH, Liang SS, Baldwin GS.   +3 more
europepmc   +1 more source

Fast parallel algorithms that compute transitive closure of a fuzzy relation

, 1993
Владик Крейнович
openalex   +1 more source

Hierarchical Clustering and A Heuristic Method of Obtaining Transitive Relation

, 1996
Jyunzo Watada
openalex   +2 more sources

Imagined and Overlooked Ties: Why the Ties in Our Mind Influence Who We Trust

Personnel Psychology, Volume 78, Issue 4, Page 699-723, Winter 2025.
ABSTRACT Trust theory explains how social network ties influence trust, but well‐publicized examples suggest that even imagined connections can affect trust. As extant theory does not explain this phenomenon, we introduce a perceptual network mechanism that elucidates why the ties in our mind influence trustworthiness judgments.
Priti Pradhan Shah, Stephen L. Jones, Marco (Dongil) Jang   +2 more
wiley   +1 more source

Federated SPARQL query performance evaluation for exploring disease model mouse: combining gene expression, orthology, and disease knowledge graphs. [PDF]

BMC Med Inform Decis Mak
Kushida T, de Farias TM, Sima AC, Dessimoz C, Chiba H, Bastian FB, Masuya H.   +6 more
europepmc   +1 more source

Leadership Influence in Times of Change: A Social Network Perspective

Personnel Psychology, Volume 78, Issue 4, Page 744-770, Winter 2025.
ABSTRACT Successful organizational change often depends on network leaders—organizational members who act as informal change agents by exerting influence through their social networks. Integrating a social identity model with a social network perspective, we identify two distinct network leadership roles: Domain Experts and Boundary Spanners.
Francesca Pallotti, Daniele Mascia, Neela S. Mühlemann   +2 more
wiley   +1 more source

Reflexivity gradient-Consciousness knowing itself. [PDF]

Front Psychol
Josipovic Z.
europepmc   +1 more source

A general framework on conditions for constraint‐based causal learning

Scandinavian Journal of Statistics, Volume 52, Issue 4, Page 2209-2241, December 2025.
Abstract Most constraint‐based causal learning algorithms provably return the correct causal graph under certain correctness conditions, such as faithfulness. By representing any constraint‐based causal learning algorithm using the notion of a property, we provide a general framework to obtain and study correctness conditions for these algorithms. From
Kai Z. Teh, Kayvan Sadeghi, Terry Soo
wiley   +1 more source

Neurons have an inherent capability to learn order relations: A theoretical foundation that explains numerous experimental data

Yang Y, Maass W.
europepmc   +1 more source

ON GENERALISED FC-GROUPS IN WHICH NORMALITY IS A TRANSITIVE RELATION

, 2015
R. Esteban‐Romero, Giovanni Vincenzi
openalex   +2 more sources