Results 251 to 260 of about 23,967,054 (309)

Multilevel Model Prediction

Psychometrika, 2006
Multilevel models are proven tools in social research for modeling complex, hierarchical systems. In multilevel modeling, statistical inference is based largely on quantification of random variables. This paper distinguishes among three types of random variables in multilevel modeling—model disturbances, random coefficients, and future response ...
Frees, Edward W., Kim, Jee-Seon
openaire   +1 more source

Design and implementation of construction cost prediction model based on SVM and LSSVM in industries 4.0

International Journal of Intelligent Computing and Cybernetics, 2021
PurposeIn order to improve the accuracy of project cost prediction, considering the limitations of existing models, the construction cost prediction model based on SVM (Standard Support Vector Machine) and LSSVM (Least Squares Support Vector Machine) is ...
M. Fan, Ashutosh Sharma
semanticscholar   +1 more source

Prediction Model With Harmonic Load Current Components for FCS-MPC of an Uninterruptible Power Supply

IEEE transactions on power electronics, 2021
A finite control set model predictive control (FCS-MPC) strategy consists of a prediction model, a cost function and an optimization algorithm. Consequently, the performance of the FCS-MPC depends on the proper design of these three elements.
S. Vazquez, Eduardo Zafra, R. Aguilera, T. Geyer, J. I. Leon, L. Franquelo   +5 more
semanticscholar   +1 more source

XGBLC: an improved survival prediction model based on XGBoost

Bioinform., 2021
MOTIVATION Survival analysis using gene expression profiles plays a crucial role in the interpretation of clinical research and assessment of disease therapy programs.
Baoshan Ma, Ge Yan, Bingjie Chai, Xiaoyu Hou   +3 more
semanticscholar   +1 more source

MODEL IMPERFECTION AND PREDICTING PREDICTABILITY

International Journal of Bifurcation and Chaos, 2013
It has been argued that Lyapunov exponents as a measure of predictability are of limited value because they only provide a global average. Characterizing an attractor by a distribution of times for initial uncertainties to increase by a factor of q has been suggested as a more useful alternative.
openaire   +1 more source

Predictive Modeling & Outcomes

Professional Case Management, 2008
The intent of this article is to explain predictive modeling-a statistical tool-as it applies to the practice of case management. While actuaries and financial experts focus on the statistical relevance of predictive risk scores, case managers will benefit from knowing what these scores mean and how interpreting and applying them into meaningful action
openaire   +2 more sources

LightBBB: computational prediction model of blood-brain-barrier penetration based on LightGBM

Bioinform., 2020
MOTIVATION Identification of blood-brain barrier (BBB) permeability of a compound is a major challenge in neurotherapeutic drug discovery. Conventional approaches for BBB permeability measurement are expensive, time-consuming, and labor-intensive.
Bilal Shaker, Myeong-Sang Yu, J. Song, Sunjoo Ahn, J. Ryu, K. Oh, D. Na   +6 more
semanticscholar   +1 more source

Predictive Modeling

2022
Goode, Brian, Ramakrishnan, Naren, Marathe, Madhav, Kuhlman, Chris, Macy, Michael, Leskovec, Jure, Contractor, Noshir, Epstein, Joshua, Butler, Patrick, Korkmaz, Gizem, Ning, Yue, Wang, Wei, Saraf, Parang, Self, Nathan   +13 more
  +5 more sources

Toward a Smell-Aware Bug Prediction Model

IEEE Transactions on Software Engineering, 2019
Code smells are symptoms of poor design and implementation choices. Previous studies empirically assessed the impact of smells on code quality and clearly indicate their negative impact on maintainability, including a higher bug-proneness of components ...
Fabio Palomba, M. Zanoni, F. Fontana, Andrea De Lucia, Rocco Oliveto   +4 more
semanticscholar   +1 more source

Predictive Modeling

The broad term of predictive modeling can therefore be undertaken to refer to statistical approaches and the related methodologies used in forecasting future trends from past data. In the marketing domain, predictive modeling has two major uses: sales forecasting and estimating the customer lifetime value.
Rajiv Iyer, A. Saranya, Vedprakash C. Maralapalle, Garima Shukla   +3 more
openaire   +1 more source