Results 41 to 50 of about 815,587 (296)
Multi-objective Influence Diagrams
CoRR, 2012 Appears in Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI2012)
Marinescu, Radu +2 more
openaire +4 more sources
Multi‐objective contractor's ranking by applying the Moora method
Journal of Business Economics and Management, 2008 Construction, taking off, maintenance and facilities management of a building is a typical example of consumer sovereignty: the new owner likes to have a reasonable price to pay, to have confidence in the contractor, to know about the duration of the ...
Willem Karel M. Brauers +3 more
doaj +1 more source
Multi-objective Reinforcement Learning [PDF]
, 2013 In this talk we present PQ-learning, a new Reinforcement Learning (RL) algorithm that determines the rational behaviours of an agent in multi-objective domainsThis work is partially funded by: grant TIN2009-14179 (Spanish Government, Plan Nacional de I ...
Ruiz-Montiel, Manuela
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee +9 more
wiley +1 more source
Enhancing semantics with multi‐objective reinforcement learning for video description
Electronics Letters, 2021 Video description is challenging due to the high complexity of translating visual content into language. In most popular attention‐based pipelines for this task, visual features and previously generated words are usually concatenated as a vector to ...
Qinyu Li +3 more
doaj +1 more source
Bat Algorithm for Multi-objective Optimisation [PDF]
, 2011 Engineering optimization is typically multiobjective and multidisciplinary with complex constraints, and the solution of such complex problems requires efficient optimization algorithms.
Yang, Xin-She
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Pediatric central nervous system (CNS) tumors often recur despite multimodality therapy. Although re‐irradiation (re‐RT) has historically been limited by concerns for severe late toxicities, modern techniques have renewed interest in this approach. Proton therapy provides dosimetric advantages that may enable curative re‐treatment with
Jin‐Ho Song +15 more
wiley +1 more source
Farm Planning by Fuzzy Multi Objective Programming Model [PDF]
Journal of Agricultural Science and Sustainable Production, 2010 In current study, Fuzzy Goal Programming (FGP) model by considering a set of social and economic goals, was applied to optimal land allocation in Koshksaray district, Marand city, East Azarbaijan province, Iran.
m Raei Jadidi, m Sabuhi Sabuni
doaj
Population extremal optimisation for discrete multi-objective optimisation problems [PDF]
, 2016 The power to solve intractable optimisation problems is often found through population based evolutionary methods. These include, but are not limited to, genetic algorithms, particle swarm optimisation, differential evolution and ant colony optimisation.
Lewis, A., Randall, M.
core +1 more source
Defining Roles in Pediatric Palliative Care: Perspectives From Oncology and Palliative Care Teams
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Early integration of pediatric palliative care (PPC) is associated with improved symptom management, quality of life, and healthcare utilization for children with cancer. Despite this, variation persists in how PPC is understood, operationalized, and integrated within pediatric oncology programs. In particular, ambiguity surrounding
Leeat Granek +13 more
wiley +1 more source