Results 81 to 90 of about 3,592,441 (346)
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari +6 more
wiley +1 more source
For random graphs distributed according to stochastic blockmodels, a special case of latent position graphs, adjacency spectral embedding followed by appropriate vertex classification is asymptotically Bayes optimal; but this approach requires knowledge ...
Chen, Li +3 more
core +1 more source
The study presents a prototype novel workflow that utilizes artificial intelligence for the digitization of natural history collections, which would fit within a robotic‐integrated system. The work focuses on a collaborative‐robot (cobot) inspired workflow to digitize one of the largest collections housed at the Natural History Museum UK: pinned ...
Naifeng Zhang +4 more
wiley +1 more source
Correcting Icelandic Manuscripts in the Second Half of the Fourteenth Century
Writing is a task prone to errors and mistakes. While modern devices allow for invisible corrections, medieval scribes often had to use methods that would remain visible to a manuscript’s future users.
Lea D. Pokorny
doaj +1 more source
Abstract Equitable community‐academic research partnerships provide an innovative way to advance health outcomes among criminal legal system‐impacted individuals. The extant literature lacks accounts that detail the process for developing such partnerships, particularly in community‐based (rather than carceral) settings and with community organizations
Talia R. Cohen +7 more
wiley +1 more source
Study on Recommendation Algorithms Based on Knowledge Graph and Neighbor PerceptionAttention Mechanism [PDF]
In order to solve the cold start problem caused by traditional recommendation algorithms when they face the recommendation task with sparse data,this paper introduces the knowledge graph into the recommendation algorithm,combing a new neighbor perception
CHEN Shanshan, YAO Subin
doaj +1 more source
Abstract This qualitative study explores how Indigenous, racialized, and Global South practitioners and scholars engage in liberatory praxis, drawing on decolonial theory and critical psychologies, to reimagine community wellbeing and mental health (CWMH) beyond Western‐based psychological frameworks.
Ramy Barhouche
wiley +1 more source
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations [PDF]
In this paper we propose a general framework for learning distributed representations of attributes: characteristics of text whose representations can be jointly learned with word embeddings.
Kiros, Ryan +2 more
core +1 more source
Embedding the Complete Expansion Graph in Books
A book embedding of a graph consists of an embedding of its vertices along the spine of a book, and an embedding of its edges on the pages such that edges embedded on the same page do not intersect. The pagenumber is the minimum number of pages in which the graph $G$ can be embedded.
Shao, Zeling, Ren, Chunjin, Li, Zhiguo
openaire +2 more sources
Abstract This paper describes a 3‐year community–partnered research initiative focused on advancing early reading, racial equity, and relationships—collectively known as the 3Rs Initiative. The project brought together researchers and community members committed to ensuring that all adults in the county embody a shared “3Rs mindset” to better support ...
Shannon B. Wanless +3 more
wiley +1 more source

