Buscar
Mostrando ítems 1-10 de 8115
Is your QSAR/QSPR descriptor real or trash?
(Wiley-blackwellMaldenEUA, 2010)
Probability bounds for active learning in the regression problem
In this article we consider the problem of active learning in the regression setting.
That is, choosing an optimal sampling scheme for the regression problem
simultaneously with that of model selection. We consider a ...
A partial least squares and principal component regression study of quinone compounds with trypanocidal activity
(Springer, 2007-02-01)
A quantitative structure-activity relationship (QSAR) study of 19 quinone compounds with trypanocidal activity was performed by Partial Least Squares (PLS) and Principal Component Regression (PCR) methods with the use of ...
A partial least squares and principal component regression study of quinone compounds with trypanocidal activity
(Springer, 2007-02-01)
A quantitative structure-activity relationship (QSAR) study of 19 quinone compounds with trypanocidal activity was performed by Partial Least Squares (PLS) and Principal Component Regression (PCR) methods with the use of ...
A partial least squares regression study with antioxidant flavonoid compounds
(Springer, 2006-06-01)
The quantitative structure-activity relationship of a set of 19 flavonoid compounds presenting antioxidant activity was studied by means of PLS (Partial Least Squares) regression. The optimization of the structures and ...
A partial least squares regression study with antioxidant flavonoid compounds
(Springer, 2006-06-01)
The quantitative structure-activity relationship of a set of 19 flavonoid compounds presenting antioxidant activity was studied by means of PLS (Partial Least Squares) regression. The optimization of the structures and ...
End-to-end quality of service prediction based on functional regression
(2005)
This work focuses on quality of service (QoS) estimation based on end-to-end active measurements. The main problem is to continuously monitor the QoS that will receive a multimedia application in a path between two agents ...
Métodos de aprendizado ativo
(Universidade Federal de São CarlosUFSCarCâmpus São CarlosEstatística - Es, 2022-04-12)
In the field of supervised learning, the good performance of a prediction model is generally tied to the presence of a large labelled training set. However, there are many situations where labelling an instance is expensive ...
Involvement of matrix metalloproteinase activity in hormone-induced mammary tumor regression
(Amer Soc Investigative Pathology, Inc, 2006-12)
Proteolytic activity and remodeling of the extracellular matrix are important players in tumor progression. However, to date the role of the extracellular matrix in tumor regression remains unresolved. To address this, we ...