Results 271 to 280 of about 3,622,541 (329)

ENSEMBLE-BASED LOGISTIC REGRESSION ON HIGH-DIMENSIONAL DATA: A SIMULATION STUDY

Tintrim Dwi Ary Widhianingsih, Heri Kuswanto, Dedy Dwi Prastyo   +2 more
openalex   +2 more sources

Oxide‐Free Titanium Coatings by Wire Arc Spraying in a Silane‐Doped Inert Atmosphere

Advanced Engineering Materials, EarlyView.
A silane‐doped argon atmosphere enables the production of oxide‐free titanium coatings via twin‐wire arc spraying at ambient pressure. This innovative approach eliminates residual oxygen, creating process conditions that prevent oxidation and nitride formation.
Manuel Rodriguez Diaz, Maik Szafarska, René Gustus, Kai Möhwald, Hans Jürgen Maier   +4 more
wiley   +1 more source

Electrical Conductivities of Conductors, Semiconductors, and Their Mixtures at Elevated Temperatures

Advanced Engineering Materials, EarlyView.
This article presents a comprehensive review of temperature‐dependent electrical conductivity data for multiple material classes at elevated temperatures, highlighting a persistent conductivity gap between metals and semiconductors in the range of 102$\left(10\right)^{2}$– 107$\left(10\right)^{7}$ S/m. Metal–ceramic irregular metamaterials are proposed
Valentina Torres Nieto, Marcia A. Cooper
wiley   +1 more source

A New Paradigm for High-dimensional Data: Distance-Based Semiparametric Feature Aggregation Framework via Between-Subject Attributes. [PDF]

Scand Stat Theory Appl
Liu J, Zhang X, Lin T, Chen R, Zhong Y, Chen T, Wu T, Liu C, Huang A, Nguyen TT, Lee EE, Jeste DV, Tu XM.   +12 more
europepmc   +1 more source

Model Selection and Estimation for High-dimensional Data Analysis

, 2019
Chenglong Ye
openalex   +1 more source

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Dimensionality reduction for visualizing high-dimensional biological data

Biosystems, 2022
High throughput technologies used in experimental biological sciences produce data with a vast number of variables at a rapid pace, making large volumes of high-dimensional data available. The exploratory analysis of such high-dimensional data can be aided by human interpretable low-dimensional visualizations.
Tamasha Malepathirana, Damith Senanayake, Rajith Vidanaarachchi, Vini Gautam, Saman Halgamuge   +4 more
openaire   +3 more sources

High-Dimensional Data Cubes

Proceedings of the VLDB Endowment, 2022
This paper introduces an approach to supporting high-dimensional data cubes at interactive query speeds and moderate storage cost. The approach is based on binary(-domain) data cubes that are judiciously partially materialized; the missing information can be quickly reconstructed using statistical or linear programming techniques.
Sachin Basil John, Christoph Koch
openaire   +1 more source

Dimensionality reduction for high dimensional data

Proceedings of the 2014 International Conference on Information and Communication Technology for Competitive Strategies, 2014
Information Technology has produced huge amounts of data and these data need to be processed to extract information hidden in it. Feature selection techniques often come handy to process these data efficiently. In this paper, a novel approach for feature selection GA-CFS is proposed.
Aditya Kumar, Smita Roy, Prabhat Ranjan
openaire   +1 more source

Cross-Dimensional Inference of Dependent High-Dimensional Data

Journal of the American Statistical Association, 2012
A growing number of modern scientific problems in areas such as genomics, neurobiology, and spatial epidemiology involve the measurement and analysis of thousands of related features that may be stochastically dependent at arbitrarily strong levels. In this work, we consider the scenario where the features follow a multivariate Normal distribution.
Keyur H, Desai, John D, Storey
openaire   +2 more sources