Feature selection: An ever evolving frontier in data mining
The rapid advance of computer technologies in data processing, collection, and storage has
provided unparalleled opportunities to expand capabilities in production, services …
provided unparalleled opportunities to expand capabilities in production, services …
[PDF][PDF] Advancing feature selection research
The rapid advance of computer based high-throughput technique have provided
unparalleled opportunities for humans to expand capabilities in production, services …
unparalleled opportunities for humans to expand capabilities in production, services …
[BOOK][B] Spectral feature selection for data mining
ZA Zhao, H Liu - 2012 - library.oapen.org
This timely introduction to spectral feature selection illustrates the potential of this powerful
dimensionality reduction technique in high-dimensional data processing. It presents the …
dimensionality reduction technique in high-dimensional data processing. It presents the …
Comparing Bayesian variable selection to lasso approaches for applications in psychology
In the current paper, we review existing tools for solving variable selection problems in
psychology. Modern regularization methods such as lasso regression have recently been …
psychology. Modern regularization methods such as lasso regression have recently been …
Added value of arterial enhancement fraction derived from dual-energy computed tomography for preoperative diagnosis of cervical lymph node metastasis in …
Y Zhou, YK Xu, D Geng, JW Wang, XB Chen, Y Si… - European …, 2024 - Springer
Objectives To explore the added value of arterial enhancement fraction (AEF) derived from
dual-energy computed tomography CT (DECT) to conventional image features for …
dual-energy computed tomography CT (DECT) to conventional image features for …
Factors associated with antiretroviral therapy adherence among a community-based sample of sexual minority older adults with HIV
Older sexual minorities (eg, gay, bisexual) living with HIV are at risk for poor HIV outcomes
due to their frequent experience with both psychosocial challenges and structural barriers to …
due to their frequent experience with both psychosocial challenges and structural barriers to …
Bovine Tuberculosis Risk Factors for British Herds Before and After the 2001 Foot‐and‐Mouth Epidemic: What have we Learned from the TB 99 and CCS 2005 …
F Vial, E Miguel, W T. Johnston… - Transboundary and …, 2015 - Wiley Online Library
Over the last couple of decades, the UK experienced a substantial increase in the incidence
and geographical spread of bovine tuberculosis (TB), in particular since the epidemic of foot …
and geographical spread of bovine tuberculosis (TB), in particular since the epidemic of foot …
Improving practices for selecting a subset of important predictors in psychology: An application to predicting pain
Frequently, researchers in psychology are faced with the challenge of narrowing down a
large set of predictors to a smaller subset. There are a variety of ways to do this, but …
large set of predictors to a smaller subset. There are a variety of ways to do this, but …
Symptom clusters of pain, depressed mood, and fatigue in lung cancer: assessing the role of cytokine genes
Purpose Symptom clusters, the multiple, co-occurring symptoms experienced by cancer
patients, are debilitating and affects quality of life. We assessed if a panel of immune …
patients, are debilitating and affects quality of life. We assessed if a panel of immune …
DRMAT: A multivariate algorithm for detecting breakpoints in multispectral time series
Ecosystem dynamics and ecological disturbances manifest as breakpoints in long-term
multispectral remote sensing time series. Typically, these breakpoints are captured using …
multispectral remote sensing time series. Typically, these breakpoints are captured using …