Results 31 to 40 of about 531,524 (264)
Interaction Relation Ontology Learning [PDF]
Journal of Computational Biology, 2013 Abstract Ontology is widely used in semantic computing and reasoning, and various biomedicine ontologies have become institutionalized to make the heterogeneous knowledge computationally amenable. Relation words, especially verbs, play an important role when describing the interaction between biological entities in molecular function,
Chuanxi Li +4 more
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Learning in Repeated Interactions on Networks
Proceedings of the 23rd ACM Conference on Economics and Computation, 2022 We study how long‐lived, rational agents learn in a social network. In every period, after observing the past actions of his neighbors, each agent receives a private signal, and chooses an action whose payoff depends only on the state. Since equilibrium actions depend on higher‐order beliefs, it is difficult to characterize behavior.
Huang, Wanying +2 more
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Bayesian Social Learning with Local Interactions
Games, 2010 We study social learning in a large population of agents who only observe the actions taken by their neighbours. Agents have to choose one, out of two, reversible actions, each optimal in one, out of two, unknown states of the world.
Antonella Ianni, Antonio Guarino
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Sensorimotor Interactions in Speech Learning
i-Perception, 2011 Auditory input is essential for normal speech development and plays a key role in speech production throughout the life span. In traditional models, auditory input plays two critical roles: 1) establishing the acoustic correlates of speech sounds that ...
Douglas M Shiller
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Interactive Learning of Pattern Rankings [PDF]
International Journal on Artificial Intelligence Tools, 2014 Pattern mining provides useful tools for exploratory data analysis. Numerous efficient algorithms exist that are able to discover various types of patterns in large datasets. Unfortunately, the problem of identifying patterns that are genuinely interesting to a particular user remains challenging. Current approaches generally require considerable data
Vladimir Dzyuba +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Pediatric bone sarcoma patients and survivors may experience psychosocial challenges related to childhood cancer after their intensive, body‐altering treatment. This cross‐sectional study aimed to evaluate generic and survivor‐specific psychosocial outcomes in a national cohort of pediatric bone sarcoma patients and survivors, and ...
Hinke van der Hoek +14 more
wiley +1 more source
Screening drug-target interactions with positive-unlabeled learning
Scientific Reports, 2017 Identifying drug-target interaction (DTI) candidates is crucial for drug repositioning. However, usually only positive DTIs are deposited in known databases, which challenges computational methods to predict novel DTIs due to the lack of negative samples.
Lihong Peng +6 more
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Learning epistatic gene interactions from perturbation screens.
PLoS ONE, 2021 The treatment of complex diseases often relies on combinatorial therapy, a strategy where drugs are used to target multiple genes simultaneously. Promising candidate genes for combinatorial perturbation often constitute epistatic genes, i.e., genes which
Kieran Elmes +5 more
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Towards Learning by Interacting
, 2009 Legacy description not ...
Wrede, Britta +8 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Neuroblastoma's complex, heterogeneous biology poses significant diagnostic and therapeutic challenges, often requiring caregivers to absorb complex information and participate in time‐sensitive decisions. However, caregivers often feel unprepared to evaluate options.
Vickie Buenger +8 more
wiley +1 more source