Results 101 to 110 of about 376,950 (319)
Heuristics and stock buying decision: Evidence from Malaysian and Pakistani stock markets
Applying both qualitative and quantitative approaches, we examine whether or not investors fall prey to three heuristics; namely, anchoring and adjustment, representativeness, and availability, while investing in stocks.
Habib Hussain Khan +3 more
doaj +1 more source
A Scoping Review of Nudges for Enhancing Agricultural Policy
ABSTRACT Following PRISMA guidelines, we conduct a scoping review on 18 empirical studies on nudging interventions for farmers in Europe and the USA. The evidence on the effectiveness of nudges is mixed. Some studies demonstrate positive outcomes, particularly when nudges are combined with other interventions; others report no effect or negative ...
Nadja El Benni +4 more
wiley +1 more source
HEURISTICS FOR INTEGER PROGRAMMING USING SURROGATE CONSTRAINTS [PDF]
Fred Glover
openalex +1 more source
Abstract Mature industries, such as the industrial gases sector, often evolve into oligopolistic markets, which can amplify their susceptibility to market uncertainties. In this work, we propose a two‐stage stochastic Nash bargaining in industrial gases market oligopolies, accounting for electricity price and demand uncertainties.
Asimina Marousi +3 more
wiley +1 more source
Heuristics for partial-match retrieval data base design [PDF]
Jon Bentley, Walter A. Burkhard
openalex +1 more source
Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
Rethinking heuristics – characterizations and vignettes
The concept of “heuristics” or “heuristic strategies” is central to (mathematical) problem solving and related research; however, there is no generally accepted definition of this term.
Benjamin Rott
doaj +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
opXRD: Open Experimental Powder X‐Ray Diffraction Database
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek +23 more
wiley +1 more source

