That a simple linear model based on the mean and standard deviation performsīetter at classifying individuals with schizophrenia than a model thatĪdditionally includes features of the time-series dynamics. Yet Never a Dull Moment lives up to its title. With a neuroimaging time-series case study, we find
Use this set phrase to talk about something thats stressful and doesnt allow you to relax, like your job, raising children, etc. Its less negative-sounding than 'boring', so you can use it when you want to be a little polite. Phrase moment of truth first recorded 1932 in Hemingways 'Death in the Afternoon,' from Spanish el momento de la verdad, the final sword-thrust in a bull-fight. (something) is dull 'Dull' means 'boring' or 'not interesting'. Moment-based approach outperformed chance on 69 problems, and reached 100%Īccuracy on two problems. Phrase never a dull moment is attested by 1885 (Jerome K. Univariate time-series classification problems, this simple distributional Actor Jack Albany, who plays gangsters on TV, is mistaken for notorious hit-man Ace, and is hired by mob boss Leo Smooth to pull a heist, but Jack must find a way out of it. Rated 135 in the best albums of 1972, and 4970 of all time album. Released 21 July 1972 on Mercury (catalog no. Two simple features that ignore the sequential ordering of the data: the meanĪnd standard deviation of time-series values. Never a Dull Moment: Directed by Jerry Paris. Never a Dull Moment, an Album by Rod Stewart. Here we evaluate the performance of anĮxtremely simple classification approach - a linear classifier in the space of But without comparison to simpler methods it canīe difficult to determine when such complexity is required to obtain strong The development of sophisticated but challenging-to-interpretĭeep-learning-based methods. Read reviews from the worlds largest community for readers.
#Never a dull moment pdf
Download a PDF of the paper titled Never a Dull Moment: Distributional Properties as a Baseline for Time-Series Classification, by Trent Henderson and 2 other authors Download PDF Abstract: The variety of complex algorithmic approaches for tackling time-seriesĬlassification problems has grown considerably over the past decades, including Never a Dull Moment lives up to its title.
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