Results 41 to 50 of about 118,373 (287)

Testing Significance Testing

open access: yesCollabra: Psychology, 2018
The practice of Significance Testing (ST) remains widespread in psychological science despite continual criticism of its flaws and abuses. Using simulation experiments, we address four concerns about ST and for two of these we compare ST’s performance ...
Joachim I. Krueger, Patrick R. Heck
doaj   +1 more source

Eternal Inflation: When Probabilities Fail [PDF]

open access: yes, 2018
In eternally inflating cosmology, infinitely many pocket universes are seeded. Attempts to show that universes like our observable universe are probable amongst them have failed, since no unique probability measure is recoverable.
Norton, John D.
core   +1 more source

‘They Need to Hear You Say It’: Healthcare Professionals’ Perspectives on Barriers and Enablers to End‐of‐Life Discussions With Adolescents and Young Adults With Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee   +9 more
wiley   +1 more source

CCRRSleepNet: A Hybrid Relational Inductive Biases Network for Automatic Sleep Stage Classification on Raw Single-Channel EEG

open access: yesBrain Sciences, 2021
In the inference process of existing deep learning models, it is usually necessary to process the input data level-wise, and impose a corresponding relational inductive bias on each level. This kind of relational inductive bias determines the theoretical
Wenpeng Neng, Jun Lu, Lei Xu
doaj   +1 more source

A Map of Update Constraints in Inductive Inference

open access: yes, 2014
We investigate how different learning restrictions reduce learning power and how the different restrictions relate to one another. We give a complete map for nine different restrictions both for the cases of complete information learning and set-driven ...
D. Angluin   +14 more
core   +1 more source

Algorithmic Randomness as Foundation of Inductive Reasoning and Artificial Intelligence [PDF]

open access: yes, 2010
This article is a brief personal account of the past, present, and future of algorithmic randomness, emphasizing its role in inductive inference and artificial intelligence.
Hutter, Marcus
core   +3 more sources

A methionine‐lined active site governs carbocation stabilization and product specificity in a bacterial terpene synthase

open access: yesFEBS Letters, EarlyView.
This study reveals a unique active site enriched in methionine residues and demonstrates that these residues play a critical role by stabilizing carbocation intermediates through novel sulfur–cation interactions. Structure‐guided mutagenesis further revealed variants with significantly altered product profiles, enhancing pseudopterosin formation. These
Marion Ringel   +13 more
wiley   +1 more source

The influence of categorization level on inductive reasoning in two and three-year children

open access: yesЭкспериментальная психология, 2016
Previous studies using the method of successive touches show that children under fifteen years tend to take up the objects from the same category in a row, if they represent categories differing on a superordinate level, but do it at random if
A.A. Kotov, T.N. Kotova
doaj   +1 more source

Sex Representation in US Stroke Clinical Trials: A Decade of Trends and Challenges

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Stroke remains a major cause of disability and mortality in the US, with significant sex‐based disparities, and females remain underrepresented in stroke clinical trials. We aimed to examine sex representation in US‐based stroke clinical trials, identify trial characteristics associated with higher female enrollment (≥ 50%), and ...
Chaitali Dagli   +5 more
wiley   +1 more source

Bayesian Informal Logic and Fallacy

open access: yesInformal Logic, 2004
Bayesian reasoning has been applied formally to statistical inference, machine learning and analysing scientific method. Here I apply it informally to more common forms of inference, namely natural language arguments.
Kevin Korb
doaj   +1 more source

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