Results 261 to 270 of about 903,926 (277)

Performance evaluation of weights selection schemes for linear combination of multiple forecasts

Artificial Intelligence Review, 2012
Time series modeling and forecasting are essential in many domains of science and engineering. Extensive works in literature suggest that combining outputs of different forecasting methods substantially increases the overall accuracies as well as reduces the risk of model selection.
Ratnadip Adhikari, R. K. Agrawal
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Optimal Linear Combination of Biomarkers by Weighted Youden Index Maximization

Statistics in Medicine
ABSTRACT In medical research, it is common practice to combine various biomarkers to improve the accuracy of disease diagnosis. The weighted Youden index (WYI), which assigns unequal weights to sensitivity and specificity based on their relative importance, serves as an important and flexible evaluation metric of diagnostic tests ...
Sizhe Wang, Fang Fang, Jialiang Li
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Linear combination of weighted order statistic filters: canonical structure and optimal design

IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 1996
A new class of filters, called linear combination of weighted order statistic (LWOS) filters, is introduced. This filter is a combination of L-filters and weighted order statistic (WOS) filters. Based on the observation that this filter possesses the threshold decomposition property, a representation of LWOS filters, named the canonical representation,
Song, Jongkwan, Lee, YH Lee, Yong-Hoon
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MCW: A new weighting method for linear combination of regressors in WSNs

2010 5th International Symposium on Telecommunications, 2010
The ultimate goal in a multiple classifier system (MCS) is to obtain a global and more accurate model through the combination of several base learners. Among the popular combining rules, averaging has been emphasized as a well qualified option. The averaging rule can be applied with equal (simple averaging) or non-equal (weighted averaging) weights ...
Hadi Shakibian, Nasrollah Moghadam Charkari   +1 more
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Calibration Weighting: Combining Probability Samples and Linear Prediction Models

2009
Publisher Summary This chapter discusses how calibration weighting combines linear prediction modeling and random sampling. Each calibration weight must be positive, although it is possible for some calibration weights to be to less than unity, especially when certainty selections are grouped with non-certainties.
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Assigning appropriate weights for the linear combination data fusion method in information retrieval

Information Processing & Management, 2009
In data fusion, the linear combination method is a very flexible method since different weights can be assigned to different systems. However, it remains an open question which weighting schema should be used. In some previous investigations and experiments, a simple weighting schema was used: for a system, its weight is assigned as its average ...
Shengli Wu, Yaxin Bi, Xiaoqin Zeng, Lixin Han   +3 more
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A heuristic approach for software reliability prediction: the equally-weighted linear combination model

Proceedings. 1991 International Symposium on Software Reliability Engineering, 2002
A heuristic approach is given to addressing the software reliability modeling problem. The heuristic approach is based on a linear combination of three popular software reliability models. A simple, predetermined combination is suggested by assigning equal weights to each component model for the final delivery of the software reliability prediction. In
M.R. Lyu, A. Nikora
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Elimination with weighted row combinations for solving linear equations and least squares problems

Numerische Mathematik, 1965
Let A be a matrix of n rows and m columns, m≦n. If and only if the columns are linearly independent, then for any vector b there exists a unique vector x minimizing the Euclidean norm of \(b - Ax,\parallel b - Ax\parallel = \mathop {\min }\limits_\xi \parallel b - A\xi \parallel .\).
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Recommending Open Educational Resources Using Weighted Linear Combination

2023
Christos Troussas, Akrivi Krouska, Panagiotis Douros, Cleo Sgouropoulou   +3 more
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Performance Weights for the Linear Combination Data Fusion Method in Information Retrieval

2008
In information retrieval, the linear combination method is a very flexible and effective data fusion method, since different weights can be assigned to different component systems. However, it remains an open question which weighting schema is good. Previously, a simple weighting schema was very often used: for a system, its weight is assigned as its ...
Shengli Wu, Qili Zhou, Yaxin Bi, Xiaoqin Zeng   +3 more
openaire   +1 more source