Housing prices serve as a crucial indicator of macroeconomic stability and urban spatial vitality. However, existing studies on intra-urban housing prices predominantly focus on single-city empirical ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using pseudo-inverse training. Compared to other training techniques, such as stochastic gradient descent, ...

Scleroderma is a rare autoimmune disease involving an overproduction of the protein collagen. Linear scleroderma usually begins as a streak of hardened, waxy, discolored skin on the forehead, an arm, ...

Quantized expectation — provides gradient-like guidance for discrete diffusion with a purely discrete embedding space. Anchored remasking — enables adaptive decoding by preserving “anchor tokens” ...

When using score_nuisances with a discrete treatment, the function does not return the correct score. The issue comes from the inverse_onehot function in econml/utilities.py. Currently, when it ...

Background: Emerging evidence suggests dietary fiber may prevent cognitive decline, but its dose-response relationship and underlying mechanisms remain unclear. This study investigates the non-linear ...

School of Pharmaceutical Sciences, Shanghai Engineering Research Center of Immunotherapeutics, Fudan University, Shanghai 201203, China Shanghai Engineering Research Center of Molecular Therapeutics ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

Abstract: This article proposes inverse reinforcement learning (IRL) algorithms for tracking control of linear networked control systems under random state dropouts during wireless transmission. The ...

In part 3 of this series, we used the inverse fast Fourier transform (IFFT) to create 100-Hz time-domain waveforms of various amplitudes and phases. We can also use the IFFT to create waveforms ...

The inverse transform can create a time-domain waveform where no waveform has been before. In part 2 of this series, we used the discrete Fourier transform to convert a waveform from the time domain ...

Abstract: This paper focuses on the inverse optimal control problem for discrete-time systems with unknown cost functions using linear matrix inequalities (LMIs). Based on Pontryagin's minimum ...