51黑料爆料网历史事件

51黑料爆料网历史事件

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Matthias Lalisse

Matthias Lalisse received his Ph.D. in Cognitive Science (Neural Networks) from Johns Hopkins University and works in Machine Learning.

By this expert

The Impact of Campaign Finance on Congressional Voting: A Machine Learning Approach

Article By Matthias Lalisse | Mar 3, 2022

Legislators who vote together get paid together

Measuring the Impact of Campaign Finance on Congressional Voting: A Machine Learning Approach

Paper Working Paper Series | By Matthias Lalisse | Mar 2022

Using aggregate campaign finance data as well as a Transformer based text embedding model we can predict roll call votes for legislation in the US Congress with more than 90% accuracy.