Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

We present a linear equivalent circuit model for the depletion-type Si microring modulator (MRM). Our model consists of three blocks: one for parasitic components due to interconnects and pads, one ...

Besides trimming and winsorizing, there are other methods to deal with outliers in regression, such as transforming the data, using robust estimators, or adding dummy variables.

Prompt-Based Approach: Moving away from conventional numerical regression models, we reframe the task into a prompt-based question-answering perspective. Social Reasoning: Beyond physics-based ...

In this article, we investigate a robust distributed model predictive control (DMPC) scheme for tracking the consensus of linear multiagent systems (MASs) subject to additive disturbances and ...

One example is the Autoregressive Integrated Moving Average (ARIMA), a sophisticated autoregressive model that factors in trends, cycles, seasonality, errors, and other non-static data when making ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...