Sequential sampling of junction trees for decomposable graphs
, 2020 The junction-tree representation provides an attractive structural property for organizing a decomposable graph. In this study, we present a novel stochastic algorithm, which we call the junction-tree expander, for sequential sampling of junction trees ...
Olsson, Jimmy +2 more
core +2 more sources
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps [PDF]
Neural Information Processing Systems, 2022 Diffusion probabilistic models (DPMs) are emerging powerful generative models. Despite their high-quality generation performance, DPMs still suffer from their slow sampling as they generally need hundreds or thousands of sequential function evaluations ...
Cheng Lu +5 more
semanticscholar +1 more source
Multiphasic value biases in fast-paced decisions
eLife, 2023 Perceptual decisions are biased toward higher-value options when overall gains can be improved. When stimuli demand immediate reactions, the neurophysiological decision process dynamically evolves through distinct phases of growing anticipation ...
Elaine A Corbett +4 more
doaj +1 more source
Auto-generation of passive scalable macromodels for microwave components using scattered sequential sampling [PDF]
, 2014 This paper presents a method for automatic construction of stable and passive scalable macromodels for parameterized frequency responses. The method requires very little prior knowledge to build the scalable macromodels thereby considerably reducing the ...
Chemmangat Manakkal Cheriya, Krishnan +2 more
core +2 more sources
Sequential sampling of Rhopalosiphum maidis and Schizaphis graminum (Hem.: Aphididae) in wheat fields of Badjgah, Fars province, Iran [PDF]
نامه انجمن حشرهشناسی ایران, 2014 Between 2010 and 2011, spatial distribution and fixed precision sequential sampling plans were determined for two aphids, Rhopalosiphum maidis F. and Schizaphis graminum R., in wheat fields in Badjgah countryside of Iranian Fars province.
V. Soltani Ghasemloo +2 more
doaj
Sequential sampling: a novel method in farm animal welfare assessment
Animal, 2016 Lameness in dairy cows is an important welfare issue. As part of a welfare assessment, herd level lameness prevalence can be estimated from scoring a sample of animals, where higher levels of accuracy are associated with larger sample sizes.
C.A.E. Heath +4 more
doaj +1 more source
Mutual benefits: Combining reinforcement learning with sequential sampling models.
Neuropsychologia, 2019 Reinforcement learning models of error-driven learning and sequential-sampling models of decision making have provided significant insight into the neural basis of a variety of cognitive processes.
S. Miletić +2 more
semanticscholar +1 more source
Context-Aware Negative Sampling for Sequential Recommendation
IEEE AccessRecommender systems have become essential in large-scale e-commerce and content platforms. While user preferences are crucial in generating recommendations, the context in which recommendations are made—such as time, location, and occasion— ...
Jinseok Seol, Jaesik Choi
doaj +1 more source
Sequential sampling strategy for the modeling of parameterized microwave and RF components [PDF]
, 2011 Accurate modeling of parameterized microwave and RF components often requires a large number of full-wave electromagnetic simulations. In order to reduce the overall simulation cost, a sequential sampling algorithm is proposed that selects a sparse set ...
Crombecq, Karel +3 more
core +2 more sources
Gradient-Boosted Decision Tree Optimizer for Antenna Optimization
IEEE AccessThe use machine learning-assisted optimization methods in the design of antennas have been increasing. Although neural networks (NNs) and Gaussian process regression (GPR) are widely used, their scalability to higher dimensions poses several challenges ...
Oguzhan Engin +2 more
doaj +1 more source