Results 141 to 150 of about 12,894,975 (292)

Counterfactual Strategies for Markov Decision Processes

open access: yesProceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence
Counterfactuals are widely used in AI to explain how minimal changes to a model’s input can lead to a different output. However, established methods for computing counterfactuals typically focus on one-step decision-making, and are not directly applicable to sequential decision-making tasks.
Kobialka, Paul   +6 more
openaire   +5 more sources

Cost‐utility analysis of nusinersen–risdiplam switch in patients with spinal muscular atrophy in Croatia: A discrete event simulation model

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Introduction In recent years, the treatment of spinal muscular atrophy (SMA), a rare disease, has significantly progressed, improving patients' survival and overall quality of life. However, current SMA treatments are expensive, and some (nusinersen) are very inconvenient for patients.
Andrej Belančić   +4 more
wiley   +1 more source

Lipocalin‐2 activates hepatic stellate cells and promotes nonalcoholic steatohepatitis in high‐fat diet–fed Ob/Ob mice

open access: yesHepatology, EarlyView., 2022
Graphical summary of obesity‐induced NASH progression by LCN2 targeted to HSC activation. Abstract Background and Aims In obesity and type 2 diabetes mellitus, leptin promotes insulin resistance and contributes to the progression of NASH via activation of hepatic stellate cells (HSCs).
Kyung Eun Kim   +12 more
wiley   +1 more source

Research on constellation fault satellite replacement strategy based on Markov decision process

open access: yesHangkong gongcheng jinzhan
With the decrease of the importance of single satellite caused by the large-scale constellation,multiple replacement methods and the retention of faulty satellites should be considered when formulating the replacement strategy of faulty satellites.
LIN Ruoyu   +4 more
doaj   +1 more source

State Clustering in Markov Decisions Processes with an Application in Information Sharing

open access: yes, 2005
This research examines state clustering in Markov Decision processes, specifically addressing the problem referred to as Markov Decision process with restricted observations. The general problem is a special case of a Partially Observable Markov Decision
Berrings Davis, Lauren Marie
core  

Efficacy, safety and cost‐effectiveness of CAR‐T therapy

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
CAR T‐cells demonstrate high efficacy in blood cancers, including ALL, MM and DLBCL. Innovations target solid tumours despite challenges such as antigen escape. Combination therapies enhance the delivery and infiltration of CAR T cells. Toxicity, cost and resistance remain major barriers to clinical use.
Emina Karahmet Sher   +7 more
wiley   +1 more source

Nonparametric Identification of Behavioral Responses to Counterfactual Policy Interventions in Dynamic Discrete Decision Processes [PDF]

open access: yes
This paper deals with identification in Markov dynamic discrete decision processes. It shows the nonparametric identification of the behavioral responses to counterfactual policy interventions that modify the one- period utility function.Dynamic discrete
Victor Aguirregabiria
core  

Adaptive imatinib regimens can mitigate cumulative toxicity while sustaining hemodynamic benefit: A model‐based simulation of the positioning imatinib for pulmonary arterial hypertension trial

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
ABSTRACT Aims Imatinib improves hemodynamics in pulmonary arterial hypertension (PAH), but dose‐dependent toxicity has limited its clinical development. We aimed to quantify the dose–efficacy–toxicity relationship and evaluate alternative dosing strategies using data from the PIPAH trial.
Medhat M. Said   +13 more
wiley   +1 more source

Federated Learning with Efficient Aggregation via Markov Decision Process in Edge Networks

open access: yesMathematics
Federated Learning (FL), as an emerging paradigm in distributed machine learning, has received extensive research attention. However, few works consider the impact of device mobility on the learning efficiency of FL.
Tongfei Liu, Hui Wang, Maode Ma
doaj   +1 more source

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