Results 121 to 130 of about 42,602 (238)

Hidden Abstract Stack Markov Models with Learning Process

Mathematics
We present hidden abstract stack Markov models (HASMMs) with their learning process. The HASMMs we offer carry the more expressive nature of probabilistic context-free grammars (PCFGs) while allowing faster parameter fitting of hidden Markov models (HMMs)
Mete Özbaltan
doaj   +1 more source

Improving the Finite Sample Estimation of Average Treatment Effects Using Double/Debiased Machine Learning With Propensity Score Calibration

Journal of Applied Econometrics, EarlyView.
ABSTRACT Double/debiased machine learning (DML) uses for estimating an average treatment effect (ATE) a double‐robust score function that relies on the prediction of nuisance functions, such as the propensity score, which is the probability of treatment assignment given covariates.
Daniele Ballinari, Nora Bearth
wiley   +1 more source

Cross-Domain Feature Enhancement-Based Password Guessing Method for Small Samples

Entropy
As a crucial component of account protection system evaluation and intrusion detection, the advancement of password guessing technology encounters challenges due to its reliance on password data. In password guessing research, there is a conflict between
Cheng Liu, Junrong Li, Xiheng Liu, Bo Li, Mengsu Hou, Wei Yu, Yujun Li, Wenjun Liu   +7 more
doaj   +1 more source

The prevalence of food insecurity and its relationship with wellbeing in a large, cross‐sectional study of children and young people in England

JCPP Advances, EarlyView.
AbstractBackgroundWe aimed to assess the prevalence of food insecurity reported by children and young people in four areas of England in 2023 and examine its association with mental health and wellbeing.MethodsWe used data from the OxWell student survey, a large, diverse, cross‐sectional study of 38,430 students aged 8–19 years, conducted primarily in ...
Giacomo Bignardi, Mina Fazel, OxWell Study Team, Sarah‐Jayne Blakemore   +3 more
wiley   +1 more source

Global Thresholding and Multiple Pass Parsing

, 1997
We present a variation on classic beam thresholding techniques that is up to an order of magnitude faster than the traditional method, at the same performance level.
Goodman, Joshua
core   +2 more sources

Mechanistic trials, therapy and developmental science—An exemplar from early autism care

JCPP Advances, EarlyView.
Abstract Background Mechanistic design and analysis in clinical trials remains relatively rare in child mental health and autism, despite the considerable value that it could have in developing therapy practice and in illuminating basic science. Clinical trials themselves continue to have insufficient influence on actual clinical practice in child ...
Jonathan Green
wiley   +1 more source

Driving Idea Exploration to Implementation: The Role of Transformational Leadership in Fostering Innovative Work Behavior

Global Business and Organizational Excellence, EarlyView.
ABSTRACT In today's digital era, innovation is vital for organizations. This study examines how transformational leadership (TL) affects the dimensions of innovative work behavior (IWB)—idea exploration, generation, promotion, and implementation—using hospitality as a case.
Phakawan Phairat, Tan Kim‐Lim, Hiram Ting, Nimit Soonsan, Piangjit Tanticharatwarodom   +4 more
wiley   +1 more source

A Corpus-Based Multifactorial Study of / Alternation in Learners’ Language: From the Perspective of Probabilistic Grammar

SAGE Open
This corpus-based multifactorial study delves deeper into the well-known alternation between bare and full infinitive complements, specifically regarding the help concordances.
Menglan Wang, Guiying Jiang, Yan Cheng
doaj   +1 more source

Stochastic phonological grammars and acceptability

, 1997
In foundational works of generative phonology it is claimed that subjects can reliably discriminate between possible but non-occurring words and words that could not be English.
Coleman, John, Pierrehumbert, Janet
core   +3 more sources

Gatekeepers of the Future: The Role of Corporate Venture Capital in Corporate Artificial Intelligence Adoptions

Strategic Change, EarlyView.
ABSTRACT This study extends absorptive capacity research by showing how corporate venture capital (CVC) investments enable corporate artificial intelligence (AI) adoption through collaboration pathways, delineated in four adoption archetypes that explain how heterogeneous AI knowledge is absorbed.
Louisa A. Müller, Marc Neubert, Dominik K. Kanbach   +2 more
wiley   +1 more source