Results 71 to 80 of about 607,371 (320)
Expectation-maximization estimators for incompletely observed data [PDF]
Ekonomski Anali, 2004 Expectation-maximization is a broadly applicable approach to the iterative computation of maximum likelihood estimates. Each iteration of expectation-maximization method consists of two steps: the expectation step and the maximization step.
Vasić Vladimir V.
doaj +1 more source
AI Predicted Product Portfolio for Profit Maximization [PDF]
, 2022 Chan-Chih Cheng +3 more
openalex +1 more source
Resilient Monotone Submodular Function Maximization
, 2017 In this paper, we focus on applications in machine learning, optimization, and control that call for the resilient selection of a few elements, e.g. features, sensors, or leaders, against a number of adversarial denial-of-service attacks or failures.
Gatsis, Konstantinos +3 more
core +1 more source
Screening for lung cancer: A systematic review of overdiagnosis and its implications
Molecular Oncology, EarlyView.Low‐dose computed tomography (CT) screening for lung cancer may increase overdiagnosis compared to no screening, though the risk is likely low versus chest X‐ray. Our review of 8 trials (84 660 participants) shows added costs. Further research with strict adherence to modern nodule management strategies may help determine the extent to which ...
Fiorella Karina Fernández‐Sáenz +12 more
wiley +1 more source
Molecular Oncology, EarlyView.The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source
Molecular Oncology, EarlyView.This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris +10 more
wiley +1 more source
International Journal of Information and Communication Technology Research, 2022 Cancer-causing genes are genes in which mutations cause the onset and spread of cancer. These genes are called driver genes or cancer-causal genes. Several computational methods have been proposed so far to find them.
Sajedeh Lashgari +2 more
doaj
npj Science of Learning, 2023 We argue that the feedback traditionally used to indicate negative outcomes causes future detrimental performance because of the default goal of win maximization.
Yajing Zhang +2 more
doaj +1 more source
Welfare Maximization Entices Participation [PDF]
, 2015 We consider randomized mechanisms with optional participation. Preferences over lotteries are modeled using skew-symmetric bilinear (SSB) utility functions, a generalization of classic von Neumann-Morgenstern utility functions. We show that every welfare-
Brandl, Florian +2 more
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