Results 41 to 50 of about 5,787,644 (326)

Oracle Properties and Finite Sample Inference of the Adaptive Lasso for Time Series Regression Models [PDF]

open access: yes, 2013
We derive new theoretical results on the properties of the adaptive least absolute shrinkage and selection operator (adaptive lasso) for time series regression models.
Audrino, Francesco, Camponovo, Lorenzo
core   +1 more source

Play-the-winner rule and adaptive designs of clinical trials

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2001
In another paper, we have argued that the traditional randomized design of clinical trials is ethically infeasible in desperate medical situations and adaptive designs are morally required.
Xikui Wang, Daryl Pullman
doaj   +1 more source

A Minimum Relative Entropy Principle for Learning and Acting

open access: yes, 2010
This paper proposes a method to construct an adaptive agent that is universal with respect to a given class of experts, where each expert is an agent that has been designed specifically for a particular environment.
Braun, Daniel A., Ortega, Pedro A.
core   +1 more source

Adaptive Radiations: Competition Rules for Galápagos Gastropods [PDF]

open access: yesCurrent Biology, 2010
New islands present the perfect opportunity for a species to get a fresh start and undergo adaptive radiation. For Galápagos land snails, both competition and resource diversity have together led to opportunity knocking twice.
Richards, Paul M., Davison, Angus
openaire   +2 more sources

Fuzzy rule: Based model reference adaptive control for PMSM drives [PDF]

open access: yesSerbian Journal of Electrical Engineering, 2007
The objective of the model reference adaptive fuzzy control (MRAFC) is to change the rules definition in the direct fuzzy logic controller (FLC) and rule base table according to the comparison between the reference model output signal and system output ...
Kadjoudj Mohamed   +2 more
doaj   +1 more source

An artificial immune system for fuzzy-rule induction in data mining [PDF]

open access: yes, 2004
This work proposes a classification-rule discovery algorithm integrating artificial immune systems and fuzzy systems. The algorithm consists of two parts: a sequential covering procedure and a rule evolution procedure.
A.A. Freitas   +11 more
core   +1 more source

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie   +4 more
wiley   +1 more source

Clinical Insights Into Hypercalcemia of Malignancy in Childhood

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Hypercalcemia of malignancy (HCM) is a rare but life‐threatening metabolic emergency in children that occurs in less than 1% of pediatric cancer cases, with a reported incidence ranging from 0.4% to 1.0% across different studies. While it is observed in 10%–20% of adult malignancies, pediatric HCM remains relatively uncommon.
Hüseyin Anıl Korkmaz
wiley   +1 more source

Pediatric Oncology Nursing Competencies in Latin America and the Caribbean: A Scoping Review to Inform Practice, Education, and Research

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior   +7 more
wiley   +1 more source

Asymptotically efficient adaptive allocation rules

open access: yesAdvances in Applied Mathematics, 1985
\(\Pi_ j\) \((j=1,...,k)\) denote statistical populations specified respectively by univariate density functions \(f(x;\theta_ j)\) with respect to some measure \(\nu\), where the form of f is known but the parameters \(\theta_ 1,...,\theta_ k\) are unknown.
Lai, T.L, Robbins, Herbert
openaire   +2 more sources

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