Early classification of time seriesCost estimationSequential decision makingAn 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 optimization ...
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 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...
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...
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...
Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET) - JAEarly/MILTimeSeriesClassification
Note that these three temperate European estuaries harbor little to no seagrass or sessile macroalgae, which otherwise would have complicated the classification of terrestrial vegetation. Benthic microalgae (e.g., diatoms), which are present, produce a positive signal in NDVI as well, however it is...
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 ...
The CL images and concordia plots of the zircon SHRIMP U-Pb dating for the volcanic rocks in the Funing-Napo area 图4)。分析了12颗锆石(表 1),其中点12和13分别为同一颗锆石的边、核部,CL图像显示核部较暗、结构模糊,表面年龄为485±7 Ma,指示其为继承锆石。其他13个点的年龄加权平均值为246±3...