Results 11 to 20 of about 15,855,180 (236)

Process reconstruction from incomplete and/or inconsistent data

open access: yes, 2004
We analyze how an action of a qubit channel (map) can be estimated from the measured data that are incomplete or even inconsistent. That is, we consider situations when measurement statistics is insufficient to determine consistent probability ...
Bu?ek   +9 more
core   +1 more source

Process capability and data contamination [PDF]

open access: yes, 2017
DOI nefunkční (4.5.2018)Purpose: The paper centres on process capability and its relation to data contamination. Process capability may be distorted due to imprecise data.
Tošenovský, Filip, Tošenovský, Josef
core   +1 more source

A Quality Improvement Initiative to Standardize Pneumocystis jirovecii Pneumonia Prophylaxis in Pediatric Patients With Solid Tumors

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar   +8 more
wiley   +1 more source

A Constrained Matrix-Variate Gaussian Process for Transposable Data

open access: yes, 2014
Transposable data represents interactions among two sets of entities, and are typically represented as a matrix containing the known interaction values. Additional side information may consist of feature vectors specific to entities corresponding to the ...
Ghosh, Joydeep   +2 more
core   +1 more source

Modeling batch annealing process using data mining techniques for cold rolled steel sheets [PDF]

open access: yes, 2011
The annealing process is one of the important operations in production of cold rolled steel sheets, which significantly influences the final product quality of cold rolling mills.
Bagheri, A, Moghimi, M, Saraee, MH
core   +1 more source

Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis   +9 more
wiley   +1 more source

Compositional data analysis of geological variability and process : a case study [PDF]

open access: yes, 2005
Developments in the statistical analysis of compositional data over the last two decades have made possible a much deeper exploration of the nature of variability and the possible processes associated with compositional data sets from many disciplines ...
Aitchison, John, Thomas, Christopher W.
core   +2 more sources

Pazopanib Combined With Vincristine and Irinotecan in Relapsed Wilms Tumor: Encouraging Outcomes in a Heavily Pretreated Pediatric Cohort

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background While Wilms tumor (WT) typically has a favorable prognosis, relapsed cases—especially those with high‐risk histology—remain therapeutically challenging after intensive frontline therapy. The combination of vincristine and irinotecan has demonstrated activity in pediatric solid tumors, and pazopanib, a multi‐targeted tyrosine kinase ...
Maria Debora De Pasquale   +6 more
wiley   +1 more source

Engineering Workflow: The Process in Product Data Technology [PDF]

open access: yes, 2000
The prevailing paradigm for enterprises in the new decade is undoubtedly speed. This enterprise view is driven by the availability of e-business technology that enables new forms of collaboration between companies.
Bijwaard, D.J.A.   +2 more
core   +1 more source

Understanding and Comparing Scalable Gaussian Process Regression for Big Data

open access: yes, 2018
As a non-parametric Bayesian model which produces informative predictive distribution, Gaussian process (GP) has been widely used in various fields, like regression, classification and optimization.
Cai, Jianfei   +3 more
core   +1 more source

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