Neural Networks and Dimension Reduction
Thomas discusses how neural networks excel in high-dimensional cases by capturing nonlinear subsurfaces. Tim emphasizes the adaptiveness of neural networks in dividing up space for effective function interpolation.In this clip
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Machine Learning Street Talk (MLST)
#69 DR. THOMAS LUX - Interpolation of Sparse High-Dimensional Data
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