Results 121 to 130 of about 30,788 (321)
Partially observable Markov decision processes with imprecise parameters
Artificial Intelligence, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hideaki Itoh, Kiyohiko Nakamura
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Business Strategy and the Environment, EarlyView.ABSTRACT Investors have long recognized the importance of firms in promoting sustainability, leading to the rise of socially responsible investment (SRI). Specifically, there is a growing preference for exchange‐traded funds (ETFs) that prioritize environmental, social, and governance (ESG) principles.
Sandra Tenorio‐Salgueiro +3 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT The pressure on corporations to contribute to sustainable development is increasing. It is widely recognised that the sustainable development goals and deadlines cannot be achieved without the support of incumbent firms. Business model innovation (BMI) is identified as a means for businesses to contribute to sustainable development.
Mercy Masaeli +3 more
wiley +1 more source
Triple equivalence for the emergence of biological intelligence
Communications PhysicsIntelligent algorithms developed evolutionarily within neural systems are considered in this work. Mathematical analyses unveil a triple equivalence between canonical neural networks, variational Bayesian inference under a class of partially observable ...
Takuya Isomura
doaj +1 more source
Index Policy for A Class of Partially Observable Markov Decision Processes [PDF]
, 2021 Keqin Liu
openalex
Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches
Chemistry – A European Journal, EarlyView.ABSTRACT Machine learning (ML) models are increasingly used in quantum chemistry, but their reliability hinges on uncertainty quantification (UQ). In this study, we compare two prominent UQ paradigms—deep evidential regression (DER) and deep ensembles—on the QM9 and WS22 datasets, with a specific emphasis on the role of post hoc calibration.
Bidhan Chandra Garain +3 more
wiley +1 more source
The Canadian Journal of Chemical Engineering, EarlyView.Abstract Identification of firefighting strategies (i.e., which endangered units to suppress or cool first) in chemical and process plants falls under the domain of multi‐objective decision‐making (MODM), where not only the safety and integrity of the affected process plant but also the safety of on‐site and off‐site vulnerable targets matter.
Sina Khakzad, Nima Khakzad
wiley +1 more source
Optimal life-cycle adaptation of coastal infrastructure under climate change
Nature CommunicationsClimate change-related risk mitigation is typically addressed using cost-benefit analysis that evaluates mitigation strategies against a wide range of simulated scenarios and identifies a static policy to be implemented, without considering future ...
Ashmita Bhattacharya +7 more
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Restricted Tweedie stochastic block models
Canadian Journal of Statistics, EarlyView.Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
Optimal dividends for a NatCat insurer in the presence of a climate tipping point
Canadian Journal of Statistics, EarlyView.Abstract We study optimal dividend strategies for an insurance company facing natural catastrophe claims, anticipating the arrival of a climate tipping point after which the claim intensity and/or the claim size distribution of the underlying risks deteriorates irreversibly.
Hansjörg Albrecher +2 more
wiley +1 more source