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MathematicsIn the design of real-world networks, researchers evaluate various structural parameters to assess vulnerability, including connectivity, toughness, and tenacity. Recently, the tightness metric has emerged as a potentially superior vulnerability measure,
Abolfazl Javan +2 more
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A Review of Fuzzy Cognitive Maps Extensions and Learning
Journal of Information Systems and Informatics, 2023 Fuzzy Cognitive Maps (FCM) is a soft computing technique whose vertices and edges are fuzzy values with an inference mechanism for solving modelling problems; it has been used in modelling complex systems like industrial and process control.
Eli Adama Jiya +2 more
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Algorithms & Fiduciaries: Existing and Proposed Regulatory Approaches to Artificially Intelligent Financial Planners [PDF]
, 2017 Artificial intelligence is no longer solely in the realm of science fiction. Today, basic forms of machine learning algorithms are commonly used by a variety of companies.
Lightbourne, John
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ALGORITHMS, LEARNING, AND OPTIMIZATION
, 2020 This thesis covers some algorithmic aspects of online machine learning and optimization. In Chapter 1 we design algorithms with state-of-the-art regret guarantees for the problem dynamic pricing. In Chapter 2 we move on to an asynchronous online learning setting in which only some of the agents in the network are active at each time step.
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IEEE AccessFlooding is one of the most common natural disasters, causing emergencies and significant damage to infrastructure. Amid crises, entities such as the World Food Program employ remotely sensed images, usually via drones, to analyze the situation quickly ...
Vladyslav Polushko +8 more
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MultiGML: Multimodal graph machine learning for prediction of adverse drug events
Heliyon, 2023 Adverse drug events constitute a major challenge for the success of clinical trials. Several computational strategies have been suggested to estimate the risk of adverse drug events in preclinical drug development.
Sophia Krix +7 more
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A Learning Algorithm for Episodes
Kalpa Publications in Computing, 2018 Sequences of events describing the behavior and actions of agents or systems can be collected in several domains. An episode is a collection of events that occur in a given partial order. By performing a recognition of recurrent episodes in several sequences and comparing them, it is pos- sible to determine a pattern common to all the se- quences.
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Examining the Efficiency of Learning-Based Algorithms in the Process of Declaring Customs
Acta Infologica, 2022 Having the declarations used in customs procedures be submitted without errors is critical. In the face of the diversity, dynamism, and complexity of the methods used in creating this declaration, human-induced declaration files are produced erroneously.
Mustafa Günerkan +2 more
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Deep Learning Approaches for Prognosis of Automated Skin Disease
Life, 2022 Skin problems are among the most common ailments on Earth. Despite its popularity, assessing it is not easy because of the complexities in skin tones, hair colors, and hairstyles.
Pravin R. Kshirsagar +5 more
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Quantum learning algorithms for quantum measurements
, 2011 We study quantum learning algorithms for quantum measurements. The optimal learning algorithm is derived for arbitrary von Neumann measurements in the case of training with one or two examples.
Bisio, Alessandro +3 more
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