Results 51 to 60 of about 5,670,665 (286)
Off-Policy Meta-Reinforcement Learning With Belief-Based Task Inference
IEEE Access, 2022 Meta-reinforcement learning (RL) addresses the problem of sample inefficiency in deep RL by using experience obtained in past tasks for solving a new task.
Takahisa Imagawa +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld +5 more
wiley +1 more source
Belief functions and default reasoning
Artificial Intelligence, 2000 Appears in Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI1995)
Salem Benferhat +2 more
openaire +8 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani +7 more
wiley +1 more source
, 2014 Beliefs can be correct or incorrect, and this standard of correctness is widely thought to be fundamental to epistemic normativity. But how should this standard be understood, and in what way is it so fundamental?
McHugh, Conor
core +2 more sources
A Novel Construction and Inference Methodology of Belief Rule Base
IEEE Access, 2020 The belief rule base model performs well in continuous systems but not in piecewise systems, and it suffers from a combinatorial explosion when there are a large number of model input referential parameters, resulting in a slow model optimization speed ...
Qingshuang Hu +3 more
doaj +1 more source
Conflict Management for Target Recognition Based on PPT Entropy and Entropy Distance
Energies, 2021 Conflicting evidence affects the final target recognition results. Thus, managing conflicting evidence efficiently can help to improve the belief degree of the true target.
Shijun Xu +5 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 +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben +4 more
wiley +1 more source
A Reflection on the Concepts of "Khvarenah" in Tarikh-e Beyhaghi [PDF]
نثرپژوهی ادب فارسی, 2017 "Khvarenah" is an outstanding mythological concept that has survived in the post-Islamic Iran among the public and written works. Passing through a transformation process, from ancient times onwards, various changes have occurred to the quality and ...
Fatemeh Kolahchian, Sahar Yousefi
doaj +1 more source