Results 311 to 320 of about 16,565,874 (393)

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

open access: yesAdvanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz   +3 more
wiley   +1 more source

A Comprehensive Review of Markov Random Field and Conditional Random Field Approaches in Pathology Image Analysis

Archives of Computational Methods in Engineering, 2020
Pathology image analysis is an essential procedure for clinical diagnosis of numerous diseases. To boost the accuracy and objectivity of the diagnosis, nowadays, an increasing number of intelligent systems are proposed.
Yixin Li   +9 more
semanticscholar   +1 more source

BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model

Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation, 2019
We show that BERT (Devlin et al., 2018) is a Markov random field language model. This formulation gives way to a natural procedure to sample sentences from BERT.
Alex Wang, Kyunghyun Cho
semanticscholar   +1 more source

INNOVATIONS FOR RANDOM FIELDS

Infinite Dimensional Analysis, Quantum Probability and Related Topics, 1998
There is a famous formula called Lévy's stochastic infinitesimal equation for a stochastic process X(t) expressed in the form [Formula: see text] We propose a generalization of this equation for a random field X(C) indexed by a contour C. Assume that the X(C) is homogeneous in a white noise x, say of degree n, we can then appeal to the classical ...
Hida, Takeyuki, Si, Si
openaire   +2 more sources

Direct simulation of random field samples from sparsely measured geotechnical data with consideration of uncertainty in interpretation

Canadian geotechnical journal (Print), 2018
Random field theory has been increasingly used in probabilistic geotechnical analyses over the past few decades, where a random field generator with random field parameters is needed to simulate random field samples (RFSs) of interest.
Yu Wang, Tengyuan Zhao, K. Phoon
semanticscholar   +1 more source

Markov random fields and gibbs random fields

Israel Journal of Mathematics, 1973
Spitzer has shown that every Markov random field (MRF) is a Gibbs random field (GRF) and vice versa when (i) both are translation invariant, (ii) the MRF is of first order, and (iii) the GRF is defined by a binary, nearest neighbor potential. In both cases, the field (iv) is defined onZ v, and (v) at anyxeZv, takes on one of two states.
openaire   +2 more sources

Random autoregression fields

Journal of Soviet Mathematics, 1989
See the review in Zbl 0593.60071.
openaire   +2 more sources

Absence of Replica Symmetry Breaking in the Random Field Ising Model

Communications in Mathematical Physics, 2014
It is shown that replica symmetry is not broken in the random field Ising model in any dimension, at any temperature and field strength, except possibly at a measure-zero set of exceptional temperatures and field strengths.
S. Chatterjee
semanticscholar   +1 more source

Hidden Conditional Random Fields

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007
We present a discriminative latent variable model for classification problems in structured domains where inputs can be represented by a graph of local observations. A hidden-state Conditional Random Field framework learns a set of latent variables conditioned on local features. Observations need not be independent and may overlap in space and time.
Ariadna, Quattoni   +4 more
openaire   +2 more sources

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