Results 101 to 110 of about 2,877,717 (359)
Wrapper for Ranking Feature Selection [PDF]
, 2004 We propose a new feature selection criterion not based on calculated measures between attributes, or complex and costly distance calculations. Applying a wrapper to the output of a new attribute ranking method, we obtain a minimum subset with the same error rate as the original data.
Ruiz Sánchez, Roberto +2 more
openaire +3 more sources
A Framework for Feature Selection in Clustering [PDF]
Journal of the American Statistical Association, 2010 We consider the problem of clustering observations using a potentially large set of features. One might expect that the true underlying clusters present in the data differ only with respect to a small fraction of the features, and will be missed if one clusters the observations using the full set of features.
Witten, Daniela M., Tibshirani, Robert
openaire +4 more sources
FEBS Letters, Volume 599, Issue 7, Page 1075-1085, April 2025.We describe a novel set of Epac‐based FRET‐FLIM biosensors with improved fully cytosolic distribution, achieved without compromising the state‐of‐the‐art performance of our original designs, for detecting cAMP dynamics in real time in live cells with high precision and reliability.
Giulia Zanetti +2 more
wiley +1 more source
Feature Selection in Hierarchical Feature Spaces [PDF]
, 2014 Feature selection is an important preprocessing step in data mining, which has an impact on both the runtime and the result quality of the subsequent processing steps. While there are many cases where hierarchic relations between features exist, most existing feature selection approaches are not capable of exploiting those relations.
Ristoski, Petar, Paulheim, Heiko
openaire +2 more sources
On Feature Selection Algorithms and Feature Selection Stability Measures : A Comparative Analysis [PDF]
International Journal of Computer Science and Information Technology, 2017 Data mining is indispensable for business organizations for extracting useful information from the huge volume of stored data which can be used in managerial decision making to survive in the competition. Due to the day-to-day advancements in information and communication technology, these data collected from e- commerce and e-governance are mostly ...
Perumal K, Mohana Chelvan P
openaire +1 more source
FEBS Letters, Volume 599, Issue 6, Page 876-891, March 2025.We explore 5HT2A receptor activation, a key target for psychedelic drugs, using molecular dynamics simulations. Without Gqα, the active receptor collapses to an inactive conformation, underscoring the G‐protein's role. Discovery of an intermediate “partially‐open” state and the higher affinity of ligands to the orthosteric binding site provides ...
Niklas Viohl +2 more
wiley +1 more source
Bayesian Penalized Method for Streaming Feature Selection
IEEE Access, 2019 The online feature selection with streaming features has become more and more important in recent years. In contrast to standard feature selection method, streaming feature selection method can select feature dynamically without exploring full feature ...
Xiao-Ting Wang, Xin-Ze Luan
doaj +1 more source
Subspace Learning for Feature Selection via Rank Revealing QR Factorization: Unsupervised and Hybrid Approaches with Non-negative Matrix Factorization and Evolutionary Algorithm [PDF]
arXiv, 2022 The selection of most informative and discriminative features from high-dimensional data has been noticed as an important topic in machine learning and data engineering. Using matrix factorization-based techniques such as nonnegative matrix factorization for feature selection has emerged as a hot topic in feature selection.
arxiv
FEBS Letters, Volume 599, Issue 6, Page 848-865, March 2025.The interaction between Agrobacterium fabrum phytochromes Agp1 and Agp2 was studied using FRET. Full‐length and truncated proteins with varied label positions provided spatial insights, narrowing down from many docking models to three. These models explain Agp2's reduction in Agp1 autophosphorylation, with Arg83 of Agp2 specifically evolved to interact
Afaf El Kurdi +7 more
wiley +1 more source
Feature Selection For High-Dimensional Clustering [PDF]
, 2014 We present a nonparametric method for selecting informative features in high-dimensional clustering problems. We start with a screening step that uses a test for multimodality.
Azizyan, Martin +2 more
core