Results 141 to 150 of about 16,794 (295)
Advanced Materials, EarlyView.Anion‐exchange doping of conjugated polymers is an effective way to achieve high conductivities. Here, we report over 2000 S cm−1 electrical conductivity for doped P(g3BTTT). In addition, we show that P(g3BTTT) sustains exceptionally high doping levels without any drop in the charge mobility.
Basil Hunger +14 more
wiley +1 more source
Soft Histograms for Belief Propagation
, 2014 . Belief propagation methods are powerful tools for various problems in computer vision. While most methods assume a discrete set of labels for each node in the graphical model, there has recently been an increased interest in using real-valued labels ...
Michael Felsberg, Erik Jonsson
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Belief Propagation on Partially Ordered Sets
, 2003 In this paper, which is based on the important recent work of Yedidia, Freeman, and Weiss, we present a generalized form of belief propagation, viz. belief propagation on a partially ordered set (PBP).
Robert J. McEliece +3 more
core +1 more source
AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing
Advanced Materials, EarlyView.This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee +21 more
wiley +1 more source
Belief Propagation in Qualitative Probabilistic Networks
, 1993 Qualitative probabilistic networks (QPNs) [13] are an abstraction of influence diagrams and Bayesian belief networks replacing numerical relations by qualitative influences and synergies.
Marek J. Druzdzel, Max Henrion
core
Conditioned Belief Propagation revisited (extended version)
, 2014 Belief Propagation (BP) applied to cyclic problems is a well known approximate inference scheme for probabilistic graphical models. To improve its accuracy, Conditioned Belief Propagation (CBP) has been proposed, which splits a problem into subproblems ...
Biundo, Susanne +2 more
core +1 more source
From Support Propagation to Belief Propagation in Constraint Programming
Journal of Artificial Intelligence Research, 2019 The distinctive driving force of constraint programming to solve combinatorial problems has been a privileged access to problem structure through the high-level models it uses. From that exposed structure in the form of so-called global constraints, powerful inference algorithms have shared information between constraints by propagating it ...
openaire +2 more sources
Engineering Strain‐Stiffening Granular Hydrogels for 3D‐Printed Tissue‐Mimicry
Advanced Materials, EarlyView.A 3D‐printable strain‐stiffening double‐network granular hydrogel (SDGH) enables independent, region‐specific tuning of toe (EToe) and heel (EHeel) moduli through control of microgel packing and network composition. This platform replicates tissue‐like nonlinear mechanics and allows fabrication of high‐fidelity, multilayered aortic valves with ...
Hyeokju Chae +9 more
wiley +1 more source
A Simple Insight into Iterative Belief Propagation's Success
, 2003 In non-ergodic belief networks the posterior belief of many queries given evidence may become zero. The paper shows that when belief propagation is applied iteratively over arbitrary networks (the so called, iterative or loopy belief propagation ...
Rina Dechter And
core
Agent belief: Presentation, propagation, and optimization
Informatica, 1999 Summary: The aim of the article is to show a stochastic approach for both modeling and optimizing the statistical agent belief in a probability model. Two networks are defined: a decision network \({\mathcal D}\) of the agent belief state and a utility network \({\mathcal U}\), presenting the utility structure of the agent belief problem.
openaire +2 more sources