Results 11 to 20 of about 1,836,547 (316)
Score Function for Voice Activity Detection
, 2010 In this paper we explore the use of non-linear transformations in order to improve the performance of an entropy based voice activity detector (VAD).
Pere Martí-Puig +7 more
core +3 more sources
Customizing scoring functions for docking [PDF]
Journal of Computer-Aided Molecular Design, 2008 Empirical scoring functions used in protein-ligand docking calculations are typically trained on a dataset of complexes with known affinities with the aim of generalizing across different docking applications. We report a novel method of scoring-function optimization that supports the use of additional information to constrain scoring function ...
Tuan A. Pham 0001, Ajay N. Jain
openaire +2 more sources
Score-Oriented Loss (SOL) functions
Pattern Recognition, 2022 Loss functions engineering and the assessment of forecasting performances are two crucial and intertwined aspects of supervised machine learning. This paper focuses on binary classification to introduce a class of loss functions that are defined on probabilistic confusion matrices and that allow an automatic and a priori maximization of the skill ...
Marchetti, F. +3 more
openaire +4 more sources
Assessment of Functional Pain Score by Comparing to Traditional Pain Scores [PDF]
Cureus, 2021 Pain assessments, such as the Numerical Pain Scale (NPS) and Wong-Baker FACEs (FACEs), offer methods to quantify pain with simplistic descriptions on a scale of 0-10 or facial expressions. These tools have limitations and deliver insufficient information to the provider developing a pain management plan. A new Functional Pain Scale (FPS) assesses other
Adeboye, Adeolu +5 more
openaire +2 more sources
Profitable portfolio using fermatean fuzzy numbers [PDF]
Journal of Fuzzy Extension and ApplicationsStock portfolio problems are one of the most relevant real-world problems. In this study, we discuss the portfolio's risk amount, rate of risk-return, and expected return rate under a Fermatean fuzzy environment.
Amal Adak, Manish Gunjan
doaj +1 more source
The polynomial and the Poisson measurement error models: some further results on quasi score and corrected score estimation [PDF]
, 2005 The asymptotic covariance matrices of the corrected score, the quasi score, and the simple score estimators of a polynomial measurement error model have been derived in the literature.
Schneeweiß, Hans
core +1 more source
Chain functions and scoring functions in genetic networks [PDF]
Bioinformatics, 2003 Abstract One of the grand challenges of system biology is to reconstruct the network of regulatory control among genes and proteins. High throughput data, particularly from expression experiments, may gradually make this possible in the future.
Irit Gat-Viks, Ron Shamir
openaire +2 more sources
Optimality of Quasi-Score in the multivariate mean-variance model with an application to the zero-inflated Poisson model with measurement errors [PDF]
, 2006 In a multivariate mean-variance model, the class of linear score (LS) estimators based on an unbiased linear estimating function is introduced. A special member of this class is the (extended) quasi-score (QS) estimator.
Kukush, Alexander +3 more
core +1 more source
A Taxonomy of Attribute Scoring Functions
, 2021 VA Applications and ...
Schmid, Jenny, Bernard, Jürgen
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Sensitivity measures based on scoring functions
European Journal of Operational Research, 2022 We propose a holistic framework for constructing sensitivity measures for any elicitable functional $T$ of a response variable. The sensitivity measures, termed score-based sensitivities, are constructed via scoring functions that are (strictly) consistent for $T$. These score-based sensitivities quantify the relative improvement in predictive accuracy
Tobias Fissler, Silvana M. Pesenti
openaire +4 more sources