Time discretization invariance in Machine Learning, applications to reinforcement learning and recurrent neural networks
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Microsoft
Time discretization invariance in Machine Learning, applications to reinforcement learning and recurrent neural networks
While computers are well equipped to deal with discrete flows of data, the real world often provides intrinsically continuous time data sequences, e.g. visual, sensory streams, time series, or state variables in continuous control environments. Most algorithms and notably machine learning approaches require discretization of time continuous ...
Aug 15, 2019
Temporal Resolution in MRI
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⏱️ Echo Insight: Mastering Temporal Resolution When every millisecond counts, temporal resolution is everything. 💥 It’s what lets you capture fast cardiac motion — valve leaflets, wall movement, and those subtle timing changes that make or break your assessment. ✨ Quick Tips to Improve Temporal Resolution: 🔹 Narrow your sector width to boost frame rate. 🔹 Decrease imaging depth for faster refresh. 🔹 Use fewer focal zones — one is usually enough. 🔹 Turn off unnecessary processing (like persi
1:00
⏱️ Echo Insight: Mastering Temporal Resolution When every millisecond counts, temporal resolution is everything. 💥 It’s what lets you capture fast cardiac motion — valve leaflets, wall movement, and those subtle timing changes that make or break your assessment. ✨ Quick Tips to Improve Temporal Resolution: 🔹 Narrow your sector width to boost frame rate. 🔹 Decrease imaging depth for faster refresh. 🔹 Use fewer focal zones — one is usually enough. 🔹 Turn off unnecessary processing (like persi
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