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Recognizing the feature of knee hyperextension in stroke patients based on transformer-long-short-term memory model. [PDF]
Biomed Eng OnlineShen A, Chen X, Xia Q, Wang Y, Xu H.
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Clinically interpretable extracellular vesicle gene model for Non-Invasive liver cancer diagnosis. [PDF]
Sci RepZhang Y +10 more
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Annual Review of Statistics and Its Application, 2021
Online learning is a framework for the design and analysis of algorithms that build predictive models by processing data one at the time. Besides being computationally efficient, online algorithms enjoy theoretical performance guarantees that do not rely on statistical assumptions on the data source.
N. Cesa Bianchi, F. Orabona
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Online learning is a framework for the design and analysis of algorithms that build predictive models by processing data one at the time. Besides being computationally efficient, online algorithms enjoy theoretical performance guarantees that do not rely on statistical assumptions on the data source.
N. Cesa Bianchi, F. Orabona
openaire +2 more sources
Online Pairwise Learning Algorithms
Neural Computation, 2016Pairwise learning usually refers to a learning task that involves a loss function depending on pairs of examples, among which the most notable ones are bipartite ranking, metric learning, and AUC maximization. In this letter we study an online algorithm for pairwise learning with a least-square loss function in an unconstrained setting of a reproducing
Ying, Yiming, Zhou, Ding-Xuan
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ACM Computing Surveys, 2016
In online scenarios requests arrive over time, and each request must be serviced in an irrevocable manner before the next request arrives. Online algorithms with advice is an area of research where one attempts to measure how much knowledge of future requests is necessary to achieve a given performance level, as defined by the competitive ratio.
Joan Boyar +4 more
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In online scenarios requests arrive over time, and each request must be serviced in an irrevocable manner before the next request arrives. Online algorithms with advice is an area of research where one attempts to measure how much knowledge of future requests is necessary to achieve a given performance level, as defined by the competitive ratio.
Joan Boyar +4 more
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2023
Online algorithms are a rich area of research with widespread applications in scheduling, combinatorial optimization, and resource allocation problems. This lucid textbook provides an easy but rigorous introduction to online algorithms for graduate and senior undergraduate students.
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Online algorithms are a rich area of research with widespread applications in scheduling, combinatorial optimization, and resource allocation problems. This lucid textbook provides an easy but rigorous introduction to online algorithms for graduate and senior undergraduate students.
openaire +1 more source