Early Classification of Time Series. Cost-based Optimization Criterion and AlgorithmsAn increasing number of applications require to recognize the class of an incoming time series as quickly as possible without unduly compromising the accuracy of the prediction. In this paper, we put forward a new ...
Early classification of time seriesSequential decision makingClassification of time series as early as possible is a valuable goal. Indeed, in many application domains, the earliest the decision, the more rewarding it can be. Yet, often, gathering more......
In this paper, we formulate the problem of early classification of time series data, which is important in some time-sensitive applications such as health informatics. We introduce a novel concept of MPL (minimum prediction length) and develop ECTS (early classification on time series), an effect...
In time series classification, two antagonist notions are at stake. On the one hand, in most cases, the sooner the time series is classified , the more rewarding. On the other hand, an early classification is more likely to be erroneous. Most of the early classification methods have been ...
In this paper, we formulate the problem of early classification of time series data, which is important in some time-sensitive applications such as health informatics. We introduce a novel concept of MPL (minimum prediction length) and develop ECTS (early classification on time series), an effect...
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Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET) - JAEarly/MILTimeSeriesClassification
The aim of this work is to study and collect algorithms that conduct early time-series classification, in a user-friendly format, for researchers to use as a benchmark. Currently, six algorithms are included in this directory. A python cli, simplifies the execution of each algorithm The predic...
the nearest neighbors of s in T in prefix space Rl prefix space the set of reverse nearest neighbors in prefix space Rl of t (1, l) the sibling cluster of s 3 Related work To the best of our knowledge, [15] are the first to mention the term "early classification of time series"....
Early classificationFeature selectionMultivariate time series (MTS) classification is an important topic in time series data mining, and has attracted great interest in recent years. However, early classification on MTS data largely remains a challenging problem. To address this problem, we focus on ...