Results 51 to 60 of about 2,165,044 (267)

Robust Model Selection for Classification of Microarrays

Cancer Informatics, 2009
Recently, microarray-based cancer diagnosis systems have been increasingly investigated. However, cost reduction and reliability assurance of such diagnosis systems are still remaining problems in real clinical scenes.
Ikumi Suzuki, Takashi Takenouchi, Miki Ohira, Shigeyuki Oba, Shin Ishii   +4 more
doaj  

Causal and Predictive Data Analysis for Conservation: Simulation Based Comparisons and a Case Study for Detecting Impact of Artificial Feeding on Eurasian Red Squirrel (Sciurus vulgaris)

Ecology and Evolution
Estimating the causal effect of a variable is an important task for applied ecology. While several methods have been applied to empirical, observational studies, there have been a few attempts to employ the causal inference approach based on the ...
Yusaku Ohkubo, Ozora Takeda, Kenta Uchida   +2 more
doaj   +1 more source

Model Selection Methods for Model-Bridge Simulation Calibration

IEEE Access
Computer simulations are ubiquitous in many scientific communities analyzing complex phenomena, such as physics, material science, medicine, and others.
Bojan Batalo, Lincon S. Souza, Keisuke Yamazaki   +2 more
doaj   +1 more source

Prevalence of 21 Physician‐Defined Severe Toxicities Following Childhood Acute Lymphoblastic Leukemia Treatment: Australian Retrospective Cohort Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, with an overall survival now surpassing 90% in developed countries. However, treatments are not without adverse effects. In this study, we apply the severe toxicity‐free survival (STFS) framework to determine the prevalence of 21 physician‐defined severe ...
Lane Collier, Brittany Grantham, Camilla Grud Nielsen, Louise Lundgren, Liv Andrés‐Jensen, Kjeld Schmiegelow, Chris Selman, Gareth Ball, Elyse Passmore, David A. Elliott, Rachel Conyers   +10 more
wiley   +1 more source

Study of Electrolytic Capacitors Model Selection and Heat Sinking

机车电传动, 2017
The main reason of the heat was analyzed and a method to reduce the temperature rise of electrolytic capacitors was proposed. Through the analysis of the electrolytic capacitors’ internal structure, the cooling effect of common cooling methods was ...
HUANG Nan, SHAO Qiang, WANG Shiping
doaj  

Intelligent Arabic Handwriting Recognition Using Different Standalone and Hybrid CNN Architectures

Applied Sciences, 2022
Handwritten character recognition is a computer-vision-system problem that is still critical and challenging in many computer-vision tasks. With the increased interest in handwriting recognition as well as the developments in machine-learning and deep ...
Waleed Albattah, Saleh Albahli
doaj   +1 more source

Predictive Model Selection

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1995
SUMMARY We consider the problem of selecting one model from a large class of plausible models. A predictive Bayesian viewpoint is advocated to avoid the specification of prior probabilities for the candidate models and the detailed interpretation of the parameters in each model.
Laud, Purushottam W., Ibrahim, Joseph G.
openaire   +2 more sources

Sustained Therapeutic Efficacy of Intravenous Plasminogen Concentrate in Pediatric Patients With Type 1 Plasminogen Deficiency: An Analysis of Dosing Parameters and Clinical Outcomes

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Type 1 plasminogen deficiency (PLGD‐1) is an ultra‐rare autosomal recessive disorder caused by variants in the PLG gene and affects approximately 1.6 individuals per million. The condition is characterized by decreased plasminogen levels and impaired function, resulting in fibrin‐rich lesions on mucous membranes throughout the body.
Charles Nakar, Karen Thibaudeau, Mary Mathias, Heather McDaniel, Madlen Reschke, Klaus Tenbrock, Joseph M. Parker, Amy Shapiro   +7 more
wiley   +1 more source

Minimising the Kullback–Leibler Divergence for Model Selection in Distributed Nonlinear Systems

Entropy, 2018
The Kullback–Leibler (KL) divergence is a fundamental measure of information geometry that is used in a variety of contexts in artificial intelligence.
Oliver M. Cliff, Mikhail Prokopenko, Robert Fitch   +2 more
doaj   +1 more source

A COMPETITIVE SELECTION MODEL [PDF]

Genetics, 1973
ABSTRACT The proportionate contribution of a genotype to the next generation is not independent of frequency and cannot always safely be equated with a constant. Survival potential (Haldane's viability) permits the use of a genetic selection model which deals more realistically with competition. A broader property than survival potential,
openaire   +2 more sources