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Long short-term memory (LSTM) [1] is a type of recurrent neural network (RNN) aimed at mitigating the vanishing gradient problem [2] commonly encountered by traditional RNNs. Its relative insensitivity to gap length is its advantage over other RNNs, hidden Markov models , and other sequence learning methods.
As of the 2018 tax year, Form 1040, U.S. Individual Income Tax Return, is the only form used for personal (individual) federal income tax returns filed with the IRS. In prior years, it had been one of three forms (1040 [the "Long Form"], 1040A [the "Short Form"] and 1040EZ - see below for explanations of each) used for such returns.
Donors of gifts in excess of the annual exclusion must file gift tax returns on IRS Form 709 [100] and pay the tax. Executors of estates with a gross value in excess of the unified credit must file an estate tax return on IRS Form 706 [101] and pay the tax from the estate. Returns are required if the gifts or gross estate exceed the exclusions.
In the U.S., [1] Canada, [2] and others, the federal and most state or provincial governments, as well as some local governments, require such withholding for income taxes on payments by employers to employees. Income tax for the individual for the year is generally determined upon filing a tax return after the end of the year.
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However, income that is not subject to withholding must be estimated using Form 1040-ES. (It may be possible to avoid filing Form 1040-ES by increasing one's withholding and instead filing a Form W-4.) [32] Estimated payments can be made using the Electronic Federal Tax Payment System. [33] [34]
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Time Aware LSTM (T-LSTM) is a long short-term memory (LSTM) unit capable of handling irregular time intervals in longitudinal patient records. T-LSTM was developed by researchers from Michigan State University, IBM Research, and Cornell University and was first presented in the Knowledge Discovery and Data Mining (KDD) conference. [1]