Results 121 to 130 of about 2,032,077 (205)

Cognitive Processes of Probabilistic Prediction in Reading: Language Model Surprisal Across Model Sizes, Token Granularity, and Reading Paradigms. [PDF]

J Intell
Liu S, Mei Y.
europepmc   +1 more source

Information Retrieval and Machine Learning for

, 2008
Schema matching is the problem of finding correspondences (mapping rules, e.g. logical formulae) between heterogeneous schemas. This paper presents a probabilistic framework, called sPLMap, for automatically learning schema mapping rules. Similar to LSD,
Henrik Nottelmann, Probabilistic Schema Matching   +1 more
core  

Probabilistic Prediction of Strength and Fracture Toughness Scatters for Ceramics Using Normal Distribution. [PDF]

Materials (Basel), 2019
Zhang C, Yang S.
europepmc   +1 more source

Power Load Probabilistic Prediction Based on Multi-Value Quantile Regression and Timing Fusion Ensemble Learning Model. [PDF]

Entropy (Basel)
Liu Y, Mei F, Zhang J, Dai X, Li W.
europepmc   +1 more source

Statistical learning and probabilistic prediction in music cognition: mechanisms of stylistic enculturation. [PDF]

Ann N Y Acad Sci, 2018
Pearce MT.
europepmc   +1 more source

Philosophical Foundations for Probabilistic Inference and Probabilistic Prediction

Philosophical Foundations for Probabilistic Inference and Probabilistic Prediction. This exciting and innovative project aims to lay new foundations for contemporary philosophy of science.

core  

A semi-mechanistic modeling strategy for infectious diseases forecasting: Error correction and probabilistic prediction. [PDF]

Biosaf Health
Hao Z, Hu J, Hu S, Zhang Z, Jia D, Huang J.   +5 more
europepmc   +1 more source

Machine Learning-Based probabilistic prediction of glacial lake formation using erosional and topographic features. [PDF]

Sci Rep
Vashistha A, Dashora A, Shah AA.
europepmc   +1 more source

Probabilistic analysis of seasonal influence on the prediction of pile bearing capacity by CPT: A case study

In this study, we used a probabilistic approach to evaluate the probability of failure of small diameter bored piles in unsaturated sandy soils. The prediction of the bearing capacity was based on the Cone Penetration Test (CPT). We assessed the seasonal
Silveira, Isabela Augusto [UNESP], Nogueira, Caio Gorla [UNESP], Giacheti, Heraldo Luiz [UNESP], Rocha, Breno Padovezi   +3 more
core   +1 more source

Enhanced probabilistic prediction of pavement deterioration using Bayesian neural networks and cuckoo search optimization. [PDF]

Sci Rep
Xiao F, Shi B, Gao J, Chen H, Yang D.
europepmc   +1 more source