Results 41 to 50 of about 458,504 (282)
Relations Between Conditional Shannon Entropy and Expectation of $\ell_{\alpha}$-Norm
The paper examines relationships between the conditional Shannon entropy and the expectation of $\ell_{\alpha}$-norm for joint probability distributions.
Iwata, Ken-ichi, Sakai, Yuta
core +1 more source
Foreign labor, peer‐networking and agricultural efficiency in the Italian dairy sector
Abstract While the presence of immigrants in the agricultural sector is widely acknowledged, the empirical evidence on its economic consequences is lacking, especially from a microeconomic perspective. Using the Farm Accountancy Data Network panel data for Italian dairy farms in the period 2008–2018, the present study investigates the relationship ...
Federico Antonioli +2 more
wiley +1 more source
Relational Networks of Conditional Preferences [PDF]
Much like relational probabilistic models, the need for relational preference models naturally arises in real-world applications involving multiple, heterogeneous, and richly interconnected objects. On the one hand, relational preferences should be represented into statements which are natural for human users to express.
openaire +2 more sources
Traceability of Agri‐Food Products: The Key to Conscious Trade
ABSTRACT Globalization and growing concerns about sustainability have led to improvements in product traceability, quality, and sustainability. Traceability contributes to environmental protection and supports sustainable development by fostering transparency in agricultural practices and encouraging the responsible use of resources.
Scarlett Queen Almeida Bispo +5 more
wiley +1 more source
Imperatiiv ja konditsionaal ungari ja võrdlevalt eesti kõrvallauses
The article compares the functions of the Hungarian and Estonian imperative and conditional in the subordinate clause in order to map the mutual relations of the two moods.
Tiina Rüütmaa
doaj +1 more source
Cardinal Virtues: Extracting Relation Cardinalities from Text
Information extraction (IE) from text has largely focused on relations between individual entities, such as who has won which award. However, some facts are never fully mentioned, and no IE method has perfect recall.
Darari, Fariz +3 more
core +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
On the Family of Conditional Embedded Implicational Dependencies [PDF]
Certain second-order sentences, called conditional embedded implicational dependencies, about relations in a relational database, are defined and studied. This class of dependencies includes some of previously defined dependencies as special cases. Thus,
Victor Felea
doaj
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla +4 more
wiley +1 more source
The statistics of urban scaling and their connection to Zipf's law. [PDF]
Urban scaling relations characterizing how diverse properties of cities vary on average with their population size have recently been shown to be a general quantitative property of many urban systems around the world.
Andres Gomez-Lievano +2 more
doaj +1 more source

