The road conditions seemed to have improved, and it looked like the worst of the weather for the day was behind us if we were going to wait until the following morning, then we’d really be in trouble as a full-blown snowstorm was making its way south. ![]() We waited it out a bit, hanging out with SVV’s brother Jim and our niece and nephew and indulging ourselves on one final feast my lovely mother-in-law prepared for our departure, and finally decided to just get going. So heavy snow in May is not only “not the norm,” it’s downright preposterous. In fact, we went to Tahoe more than half a dozen times this winter and took my little Altima every time but one…in December, January, February and March. But SVV and I had gotten engaged that very week in the Tahoe area just two years prior wearing bathing suits. Given the questionable conditions in Sac and the 45 degrees when it’s usually 70 to 80 that time of year, I guess that shouldn’t have shocked me. So imagine my surprise to find that four-wheel drive was required to pass at Donner Summit just before Tahoe. He asked me to check the road conditions for I-80, which I thought was a weird thing to do given that, again, it was May. ![]() Only, after I returned from Sunday brunch with Amy-a brunch, I should note, where it started hailing furiously in the middle of our visit…in Sacramento…in May (this is an oddity, for sure)-SVV was already loading up the trailer and ready to make an early escape. We left San Francisco for our epic road trip on Saturday, May 14, arriving at SVV’s parents’ house in Fair Oaks very late at night with the plans of leaving that Monday morning. I even laughed evilly in my head, thinking that for awhile I’d be back in the clear and someone else would see just what it’s like to walk in these size 8 shoes.īut it seems she’s sent it back my way. Comparing the performance of simple distributional features of a time series provides important context for interpreting the performance of complex time-series classification models, which may not always be required to obtain high accuracy.When my sister’s car was ravaged by hail and nearly had to be totaled out during those terrible storms that hit the South earlier this month-and then her roommate’s car (also damaged in the storm) was fully totaled by a crate that flew off an 18-wheeler in front of them on the drive from Knoxville to Memphis the following day, resulting in an eight-hour wait at a dingy rest stop, where coincidentally a blonde college girl had been abducted just weeks before, for the tow truck to finally arrive at 2am-I was just sure I had transferred my notorious luck onto her. With a neuroimaging time-series case study, we find that a simple linear model based on the mean and standard deviation performs better at classifying individuals with schizophrenia than a model that additionally includes features of the time-series dynamics. Across a large repository of 128 univariate time-series classification problems, this simple distributional moment-based approach outperformed chance on 69 problems, and reached 100% accuracy on two problems. ![]() ![]() Here we evaluate the performance of an extremely simple classification approach - a linear classifier in the space of two simple features that ignore the sequential ordering of the data: the mean and standard deviation of time-series values. But without comparison to simpler methods it can be difficult to determine when such complexity is required to obtain strong performance on a given problem. 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-series classification problems has grown considerably over the past decades, including the development of sophisticated but challenging-to-interpret deep-learning-based methods.
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