2 papers
cs.LG2020
Explainable boosted linear regression for time series forecasting
Igor Ilic, Berk Gorgulu, Mucahit Cevik +1
Time series forecasting involves collecting and analyzing past observations to develop a model to extrapolate such observations into the future. Forecasting of future events is imp…
cs.LG2019
Learning Maximally Predictive Prototypes in Multiple Instance Learning
Mert Yuksekgonul, Ozgur Emre Sivrikaya, Mustafa Gokce Baydogan
In this work, we propose a simple model that provides permutation invariant maximally predictive prototype generator from a given dataset, which leads to interpretability of the so…