Results 41 to 50 of about 17,065,182 (226)

Multinomial logit bias reduction via Poisson log-linear model [PDF]

open access: yes, 2010
It is shown how to obtain the bias-reducing penalized maximum likelihood estimator for the parameters of a multinomial logistic regression by using the equivalent Poisson log-linear model.
Firth, David   +5 more
core   +1 more source

Mechanism‐Informed Language Modeling and Oxygenated 3D Screening Identify Berberine–Enzalutamide Synergy in Prostate Cancer Models

open access: yesAdvanced Science, EarlyView.
By integrating knowledge‐augmented artificial intelligence with an oxygen‐supplemented 3D screening platform, a synergistic interaction between berberine and enzalutamide is identified. The framework integrates compound mechanisms of action with disease‐relevant signaling context to prioritize candidate combinations and generate testable pathway‐based ...
Chih‐Hui Lo   +15 more
wiley   +1 more source

Delays reduce culprit-presence detection but do not affect guessing-based selection in response to lineups

open access: yesScientific Reports
Police lineups are conducted with varying delays between the crime and the lineup. Crime-to-lineup delays may adversely affect the detection of the presence and absence of the culprit in the lineup and may potentially affect guessing-based selection.
Amelie Therre   +5 more
doaj   +1 more source

Turn around to have a look? Spatial referencing in dorsal versus frontal settings in cross-linguistic comparison

open access: yesFrontiers in Psychology, 2015
When referring to an object in relation to another, speakers of many languages can adopt a relative frame of reference (FoR). Following Levinson (2003), this kind of FoR can be established by projecting an observer’s perspective onto the ground object ...
Sieghard eBeller   +3 more
doaj   +1 more source

Implicit inequality constraints in a binary tree model [PDF]

open access: yes, 2011
In this paper we investigate the geometry of a discrete Bayesian network whose graph is a tree all of whose variables are binary and the only observed variables are those labeling its leaves.
Zwiernik, Piotr   +3 more
core   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen   +4 more
wiley   +1 more source

Opinion mining using ensemble model for restaurant feedback analysis

open access: yesDiscover Computing
The research work introduces a new method for sentiment analysis in the context of restaurant evaluations, emphasizing the optimization of the trade-off between processing time and accuracy.
Rohan S. Kamath   +2 more
doaj   +1 more source

Farmers' Preferences for Gene Editing Crops and Influencing Factors

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele   +1 more
wiley   +1 more source

Blockchain‐Based Smart Contracts in US Specialty Crop Marketing: Grower Preferences and Adoption Potential

open access: yesAgribusiness, EarlyView.
ABSTRACT Using survey and discrete choice experiment data, we examined US specialty crop growers' preferences for marketing contract attributes in the context of emerging blockchain‐based technologies and expanding traceability initiatives. Results show that farmers preferred traditional written contracts but might be willing to accept digital ...
Elizabeth Canales   +3 more
wiley   +1 more source

Improving the measurement of knowledge in multiple-choice tests: A hierarchical multinomial processing tree approach

open access: yesActa Psychologica
In multiple-choice (MC) tests, correct item responses can stem from actual mastery as well as from lucky guessing. Several approaches have been developed to address this problem, including the implementation of a “Don't know” option.
Timo Seitz   +2 more
doaj   +1 more source

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