Results 61 to 70 of about 1,414,385 (278)
What is a Good Plan? Cultural Variations in Expert Planners’ Concepts of Plan Quality
, 2009 This article presents the results of a field research study examining commonalities and differences between American and British operational planners’ mental models of planning.
Rasmussen, Louise J +2 more
core +1 more source
Rapid Response to Trametinib Combined With Chemotherapy for Infant BRAF‐Fused Chiasmatic Glioma
Pediatric Blood &Cancer, EarlyView.ABSTRACT Infants, less than 1 year, with chiasmatic gliomas (ICG) present a major therapeutic challenge due to large tumor size, decreased vision, rapid progression, and poor response to vincristine/carboplatin chemotherapy. The majority have a BRAF fusion, which may respond to downstream MEK inhibitors but response time is slow. There are no safety or
Helen Toledano +7 more
wiley +1 more source
Belief Reliability Distribution Based on Maximum Entropy Principle
IEEE Access, 2018 Belief reliability is a new reliability metric based on the uncertainty theory, which aims to measure system performance incorporating the influences from design margin, aleatory uncertainty, and epistemic uncertainty.
Tianpei Zu +3 more
doaj +1 more source
Belief Functions on Distributive Lattices
Proceedings of the AAAI Conference on Artificial Intelligence, 2013 The Dempster-Shafer theory of belief functions is an important approach to deal with uncertainty in AI.In the theory, belief functions are defined on Boolean algebras of events. In many applications of belief functions in real world problems, however, the objects that we manipulateis no more a Boolean algebra but a distributive ...
openaire +2 more sources
Belief functions and belief maintenance in artificial intelligence
International Journal of Approximate Reasoning, 1990 The idea for this special issue first arose at the Fourth Workshop on Uncertainty in Artificial Intelligence (AI) held at Minneapolis, Minnesota, in July 1988. Jim Bezdek, the editor-in-chief of this journal, asked us if we were willing to act as guest editors.
Shenoy, Prakash P., Biswas, Gautam
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A Behavioral Interpretation of Belief Functions [PDF]
Journal of Theoretical Probability, 2017 Shafer's belief functions were introduced in the seventies of the previous century as a mathematical tool in order to model epistemic probability. One of the reasons that they were not picked up by mainstream probability was the lack of a behavioral interpretation. In this paper we provide such a behavioral interpretation, and re-derive Shafer's belief
Kerkvliet, Timber, Meester, Ronald
openaire +3 more sources
Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM
FEBS Letters, EarlyView.Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley +1 more source
Correlation coefficient measurement for conflict evidence
Tongxin xuebao, 2018 The complex battlefield environment increases the uncertainty of reconnaissance information processing, so the uncertain information processing is investigated, especially the conflict evidence measurement, based on the belief functions.
Guidong SUN +3 more
doaj
A Belief Function Theory Method for Prognostics in Clogging Filters
Chemical Engineering Transactions, 2013 This paper presents a similarity-based approach for the prediction of the Remaining Useful Life (RUL) of sea water filters placed upstream the heat exchangers of a nuclear reactor condenser.
P. Baraldi +3 more
doaj +1 more source
A New Perspective and Extension of the Gaussian Filter
, 2015 The Gaussian Filter (GF) is one of the most widely used filtering algorithms; instances are the Extended Kalman Filter, the Unscented Kalman Filter and the Divided Difference Filter.
Kappler, Daniel +3 more
core +1 more source