Best Subset Selection for Double-Threshold-Variable Autoregressive Moving-Average Models: The Bayesian Approach
Sign Up to like & getrecommendations! Published in 2021 at "Computational Economics"
DOI: 10.1007/s10614-021-10124-7
Abstract: In this paper, we propose an effective Bayesian subset selection method for the double-threshold-variable autoregressive moving-average (DT-ARMA) models. The usual complexity of estimation is increased mainly by capturing the correlation between two threshold variables and… read more here.
Keywords: threshold variable; moving average; double threshold; subset selection ... See more keywords
Subset selection via continuous optimization with applications to network design
Sign Up to like & getrecommendations! Published in 2020 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-019-7938-6
Abstract: Choosing a subset of representative items from a set of alternatives is an important problem in many scientific fields such as environmental science and statistics. For most practical problems, however, a computationally efficient solution method… read more here.
Keywords: continuous optimization; optimization; subset selection; problem ... See more keywords
Bias in Balance Optimization Subset Selection: Exploration through examples
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DOI: 10.1080/01605682.2017.1421848
Abstract: Abstract When estimating a treatment effect from observational data, researchers encounter bias regardless of estimation methods. In this paper, we focus on a particular method of estimation called Balance Optimization Subset Selection (BOSS). This paper… read more here.
Keywords: optimization subset; balance; subset selection; balance optimization ... See more keywords
Adaptive Predictor Subset Selection Strategy for Enhanced Forecasting of Distributed PV Power Generation
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DOI: 10.1109/access.2019.2926826
Abstract: Distributed photovoltaic (PV) solar power plants are playing an increasing role as a power generation resource in the modern electricity grid. However, PVs pose significant challenges to grid planners, operators, owners, investors, aggregators, and other… read more here.
Keywords: subset selection; predictor subset; strategy; power ... See more keywords
Efficient User Subset Selection for Multi-User Space-Time Line Code Systems
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DOI: 10.1109/access.2022.3170033
Abstract: This paper considers the problem of user subset (US) selection for minimizing the bit error rate (BER) of multi-user space-time line code (MU-STLC) multiple-input multiple-output systems with fairness-aware per-user power allocation. The optimal selection criterion… read more here.
Keywords: multi user; user space; user subset; subset selection ... See more keywords
FIAS3: Frame Importance-Assisted Sparse Subset Selection to Summarize Wireless Capsule Endoscopy Videos
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DOI: 10.1109/access.2023.3240999
Abstract: Wireless capsule endoscopy (WCE) is a recently developed tool that allows for the painless and non-invasive examination of the entire gastrointestinal (GI) tract. The microcamera captures a large number of redundant frames for each WCE… read more here.
Keywords: sparse subset; importance; subset selection; frame importance ... See more keywords
Similarity Based Block Sparse Subset Selection for Video Summarization
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2020.3044600
Abstract: Video summarization (VS) is generally formulated as a subset selection problem where a set of representative keyframes or key segments is selected from an entire video frame set. Though many sparse subset selection based VS… read more here.
Keywords: subset; similarity; sparse subset; subset selection ... See more keywords
Data Subset Selection With Imperfect Multiple Labels
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2875470
Abstract: We study the problem of selecting a subset of weakly labeled data where the labels of each data instance are redundant and imperfect. In real applications, less-than-expert labels are obtained at low cost in order… read more here.
Keywords: quality; subset selection; imperfect multiple; instance ... See more keywords
Deterministic column subset selection for single-cell RNA-Seq
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DOI: 10.1371/journal.pone.0210571
Abstract: Analysis of single-cell RNA sequencing (scRNA-Seq) data often involves filtering out uninteresting or poorly measured genes and dimensionality reduction to reduce noise and simplify data visualization. However, techniques such as principal components analysis (PCA) fail… read more here.
Keywords: single cell; column subset; cell rna; subset selection ... See more keywords
Prescreening-Based Subset Selection for Improving Predictions of Earth System Models With Application to Regional Prediction of Red Tide
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DOI: 10.3389/feart.2022.786223
Abstract: We present the ensemble method of prescreening-based subset selection to improve ensemble predictions of Earth system models (ESMs). In the prescreening step, the independent ensemble members are categorized based on their ability to reproduce physically-interpretable… read more here.
Keywords: prescreening based; based subset; red tide; prediction ... See more keywords