Results 31 to 40 of about 55,996 (318)
Estimating the optimal linear combination of predictors using spherically constrained optimization
BMC Bioinformatics, 2022 Background In the context of a binary classification problem, the optimal linear combination of continuous predictors can be estimated by maximizing the area under the receiver operating characteristic curve.
Priyam Das +7 more
doaj +1 more source
Discretizing Continuous Action Space for On-Policy Optimization
, 2020 In this work, we show that discretizing action space for continuous control is a simple yet powerful technique for on-policy optimization. The explosion in the number of discrete actions can be efficiently addressed by a policy with factorized ...
Agrawal, Shipra, Tang, Yunhao
core +1 more source
Application of Ordinal Optimization to Reactive Volt-Ampere Sources Planning Problems
Energies, 2019 Reactive volt-ampere sources planning is an effort to determine the most effective investment plan for new reactive sources at given load buses while ensuring appropriate voltage profile and satisfying operational constraints.
Wen-Tung Lee +2 more
doaj +1 more source
Sparse Regression with Multi-type Regularized Feature Modeling
, 2020 Within the statistical and machine learning literature, regularization techniques are often used to construct sparse (predictive) models. Most regularization strategies only work for data where all predictors are treated identically, such as Lasso ...
Antonio, Katrien +3 more
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Multiyear Transmission Expansion Planning Using Ordinal Optimization [PDF]
IEEE Transactions on Power Systems, 2007 The increasing complexity of the transmission expansion planning problem in the restructured industry makes simulation the only viable means to evaluate and compare the performances of different plans. Ordinal optimization is an approach suitable for solving the simulation-based multiyear transmission expansion planning problem.
Xie, M, Zhong, J, Wu, FF
openaire +3 more sources
Regularization and Model Selection with Categorial Predictors and Effect Modifiers in Generalized Linear Models [PDF]
, 2012 We consider varying-coefficient models with categorial effect modifiers in the framework of generalized linear models. We distinguish between nominal and ordinal effect modifiers, and propose adequate Lasso-type regularization techniques that allow for ...
Gertheiss, Jan +2 more
core +2 more sources
A Compact Representation of Preferences in Multiple Criteria Optimization Problems
Mathematics, 2019 A critical step in multiple criteria optimization is setting the preferences for all the criteria under consideration. Several methodologies have been proposed to compute the relative priority of criteria when preference relations can be expressed either
Francisco Salas-Molina +3 more
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Journal of Statistical Theory and Applications (JSTA), 2019 This study investigates the simultaneous optimization of multiple correlated responses that involve mixed ordinal and continuous responses. The proposed approach is applicable for responses that have either an all ordinal categorical form are continuous ...
Fatemeh Jiryaie, Ahmad Khodadadi
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Continuous Ordinal Regression for Analysis of Visual Analogue Scales: The R Package ordinalCont
Journal of Statistical Software, 2020 This paper introduces the R package ordinalCont, which implements an ordinal regression framework for response variables which are recorded on a visual analogue scale (VAS). This scale is used when recording subjects' perception of an intangible quantity
Maurizio Manuguerra +2 more
doaj +1 more source
Advanced Science, EarlyView.This study reveals that XBP1s drives production of circTspan3, a circular RNA that strengthens cartilage by boosting anabolic activity and limiting cell death. Phosphorylated ANXA2 directs circTspan3 into exosomes, enabling paracrine repair. Exosomal circTspan3 expands growth‐plate cartilage and promotes in vivo regeneration, highlighting its promise ...
Yiming Pan +16 more
wiley +1 more source