Results 61 to 70 of about 17,652,183 (292)

Supervised Topic Models

open access: yes, 2010
We introduce supervised latent Dirichlet allocation (sLDA), a statistical model of labelled documents. The model accommodates a variety of response types. We derive an approximate maximum-likelihood procedure for parameter estimation, which relies on variational methods to handle intractable posterior expectations.
David M. Blei, Jon D. McAuliffe
openaire   +3 more sources

Functional similarities between bimanual coordination and topic/comment structure [PDF]

open access: yes, 2007
Human manual action exhibits a differential use of a non-dominant (typically, left) and a dominant (typically, right) hand. Human communication exhibits a pervasive structuring of utterances into topic and comment.
Manfred Krifka, Krifka, Manfred
core   +1 more source

Differential Topic Models [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
In applications we may want to compare different document collections: they could have shared content but also different and unique aspects in particular collections. This task has been called comparative text mining or cross-collection modeling.
Changyou Chen   +4 more
openaire   +4 more sources

HTML Topic Model (HTM)

open access: yes, 2023
<p>The HTML Topic Model (HTM) is a web content topic model that takes into consideration the HTML tags to understand the structure of web pages This implementation of the HTM is designed based on the LDA topic model, using the Gensim library (<a
Hamza Altarturi
core   +1 more source

Incorporating a Topic Model into a Hypergraph Neural Network for Searching-Scenario Oriented Recommendations

open access: yesApplied Sciences, 2022
The personalized recommendation system is a useful tool adopted by e-retailers to help consumers to find items in line with their preferences. Existing methods focus on learning user preferences from a user-item matrix or online reviews after purchasing,
Xin Huang, Xiaojuan Liu
doaj   +1 more source

Bridging the Loneliness Gap: Depression, Connectivity, and Isolation in Pediatric Oncology Patients and Their Peers

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld   +5 more
wiley   +1 more source

Deep NMF topic modeling

open access: yesNeurocomputing, 2023
Nonnegative matrix factorization (NMF) based topic modeling methods do not rely on model- or data-assumptions much. However, they are usually formulated as difficult optimization problems, which may suffer from bad local minima and high computational complexity.
Jianyu Wang, Xiao-Lei Zhang 0001
openaire   +2 more sources

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo   +9 more
wiley   +1 more source

Short-Chain Fatty Acid-Producing Gut Microbiota Is Decreased in Parkinson’s Disease but Not in Rapid-Eye-Movement Sleep Behavior Disorder

open access: yesmSystems, 2020
Gut dysbiosis has been repeatedly reported in Parkinson’s disease (PD) but only once in idiopathic rapid-eye-movement sleep behavior disorder (iRBD) from Germany.
Hiroshi Nishiwaki   +13 more
doaj   +1 more source

Private Topic Modeling

open access: yesCoRR, 2016
We develop a privatised stochastic variational inference method for Latent Dirichlet Allocation (LDA). The iterative nature of stochastic variational inference presents challenges: multiple iterations are required to obtain accurate posterior distributions, yet each iteration increases the amount of noise that must be added to achieve a reasonable ...
Park, M.   +3 more
openaire   +3 more sources

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