Results 81 to 90 of about 2,751,841 (314)

A statistical inference method for the stochastic reachability analysis. [PDF]

, 2005
The main contribution of this paper is the characterization of reachability problem associated to stochastic hybrid systems in terms of imprecise probabilities. This provides the connection between reachability problem and Bayesian statistics.
Bujorianu, L.M.
core   +3 more sources

From lactation to malignancy: A comparison between healthy and cancerous breast gland at single‐cell resolution reveals new issues for tumorigenesis

FEBS Letters, EarlyView.
Single‐cell RNA sequencing reveals an opposite role of SLPI in basal tumors based on metastatic spread, along with shared activation of specific regulons in cancer cells and mature luminal lactocytes, as well as downregulation of MALAT1 and NEAT1 in the latter.
Pietro Ancona, Carlo M. Bergamini, Carlo Ferrari, Stefano Volinia, Nicoletta Bianchi   +4 more
wiley   +1 more source

Evaluating the Language Abilities of Large Language Models vs. Humans: Three Caveats

Biolinguistics
We identify and analyze three caveats that may arise when analyzing the linguistic abilities of Large Language Models. The problem of unlicensed generalizations refers to the danger of interpreting performance in one task as predictive of the models ...
Evelina Leivada, Vittoria Dentella, Fritz Günther   +2 more
doaj   +1 more source

Geometry + Probability ⇒ Quantum Probability

, 2021
I derive the 'general linear probability amplitude' and its associated probability rule. Said probability amplitude, of which the familiar complex probability amplitude is a special case, constitutes the largest possible group of LINEAR probability amplitudes, and as such admits remarkable applications --- including that of retaining its linearity in ...
openaire   +1 more source

Empirical interpretation of imprecise probabilities [PDF]

, 2017
This paper investigates the possibility of a frequentist interpretation of imprecise probabilities, by generalizing the approach of Bernoulli’s Ars Conjectandi.
Cattaneo, Marco
core  

Linked dimers of the AAA+ ATPase Msp1 reveal energetic demands and mechanistic plasticity for substrate extraction from lipid bilayers

FEBS Letters, EarlyView.
Cells must clear mislocalized or faulty proteins from membranes to survive. The AAA+ ATPase Msp1 performs this task, but dissecting how its six subunits work together is challenging. We engineered linked dimers with varied numbers of functional subunits to reveal how Msp1 subunits cooperate and use energy to extract proteins from the lipid bilayer ...
Deepika Gaur, Brian Acquaviva, Baylee A. Smith, Nathan Walker, Isabella Walter, Matthew L. Wohlever   +5 more
wiley   +1 more source

Seismic zonation of the Dead Sea Transform Fault area

Annals of Geophysics, 2000
The Dead Sea Transform Fault constitutes the northwestern boundary of the Arabian plate, accommodating the plate’s lateral movement relative to the African plate.
E. E. Papadimitriou, G. F. Karakaisis, K. Khair   +2 more
doaj   +1 more source

Infinitesimal Probabilities [PDF]

The British Journal for the Philosophy of Science, 2018
Non-Archimedean probability functions allow us to combine regularity with perfect additivity. We discuss the philosophical motivation for a particular choice of axioms for a non-Archimedean probability theory and answer some philosophical objections that have been raised against infinitesimal probabilities in general.
Benci, Vieri, Horsten, Leon, Wenmackers, Sylvia   +2 more
openaire   +6 more sources

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

Sensitivity of Bayesian Networks to Noise in Their Parameters

Entropy
There is a widely spread belief in the Bayesian network (BN) community that the overall accuracy of results of BN inference is not too sensitive to the precision of their parameters.
Agnieszka Onisko, Marek J. Druzdzel
doaj   +1 more source