Results 191 to 200 of about 203,330 (344)
Argument-based inductive logics, with coverage of compromised perception. [PDF]
Bringsjord S+6 more
europepmc +1 more source
Model Driven Development Transformations using Inductive Logic Programming [PDF]
Adel Hamdi, Abderrahim El Moataz
openalex +1 more source
Rinaldo Lima, B. Espinasse, Fred Freitas
semanticscholar +1 more source
This article presents a review of flat‐plate hybrid solar panels, focusing on four key aspects: system components, parameters affecting efficiency, monitoring, and applications of artificial intelligence. The use of hybrid solar panels represents a promising technology for the simultaneous generation of electrical and thermal energy from solar ...
Amy Zulema Velasco Bonilla+8 more
wiley +1 more source
Employed but Unpaid, Volunteers or Paradoxical Surplus? Sierra Leone's Unsalaried Health Workforce
ABSTRACT Background In 2016, 36.5% of Sierra Leone's health workforce consisted of unsalaried clinical staff whose payroll inclusion was deferred. The Ministry of Health introduced policies to reduce this percentage, renewing pledges to introduce health workforce planning.
Pieternella Pieterse, Federico Saracini
wiley +1 more source
Parallel Constraint-Driven Inductive Logic Programming
Andrew Cropper+3 more
openalex +2 more sources
Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing
Lappoon R. Tang, Raymond J. Mooney
openalex +1 more source
Algorithmic Management in Limbo: Task‐Driven Interweaving of Hierarchy and Market Management
ABSTRACT The growing use of algorithmic management (AM) in human resource (HR) activities has attracted growing attention from HR scholars, as organizations increasingly rely on digital labor platforms to leverage external workers. This study examines how these platforms apply AM in human resource management (HRM) and how these algorithmic systems ...
Andrew Phillip Robinson+3 more
wiley +1 more source
Logic Programs as Declarative and Procedural Bias in Inductive Logic Programming
Machine Learning is necessary for the development of Artificial Intelligence, as pointed out by Turing in his 1950 article ``Computing Machinery and Intelligence''. It is in the same article that Turing suggested the use of computational logic and background knowledge for learning.
openaire +4 more sources