We study the contextual dueling bandit problem, where a learner uses contextual information to make two decisions and receives only relative (comparison) feedback. This problem is crucial in ...

Abstract: Non-negative matrix factorization (NMF) is widely used for dimensionality reduction of large datasets and is an important feature extraction technique for source separation. However, NMF ...

For non-planar graphs, such solutions are computationally intractable," explained the researchers. The algorithm relies on the Kac-Ward formalism, a mathematical method that allows exact computation ...

Periodic pattern mining, a branch of data mining, is expanding to provide insight into the occurrence behavior of large volumes of data. Recently, a variety of industries, including fraud detection, ...

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"Follow Gameplay Variety for more expert chess instruction from Coach Daniel Greiner designed to help beginners and intermediate players improve their game. With over 40 years of experience, he shares ...

This pattern describes an efficient technique to deal with overlapping intervals. In a lot of problems involving intervals, we either need to find overlapping intervals or merge intervals if they ...