Search Results for author: Mustafa Gokce Baydogan

Found 3 papers, 2 papers with code

nTreeClus: a Tree-based Sequence Encoder for Clustering Categorical Series

1 code implementation20 Feb 2021 Hadi Jahanshahi, Mustafa Gokce Baydogan

This paper proposes a new Model-based approach for clustering sequence data, namely nTreeClus.

Time Series

Explainable boosted linear regression for time series forecasting

no code implementations18 Sep 2020 Igor Ilic, Berk Gorgulu, Mucahit Cevik, Mustafa Gokce Baydogan

We observe that EBLR substantially improves the base model performance through extracted features, and provide a comparable performance to other well established approaches.

Decision Making Prediction Intervals +1

Learning Maximally Predictive Prototypes in Multiple Instance Learning

1 code implementation2 Oct 2019 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 solution and concrete insights to the nature and the solution of a problem.

Multiple Instance Learning

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