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Extensions of Dynamic Programming, Machine Learning, Discrete Optimization
TREES
Extensions of Dynamic Programming, Machine Learning, Discrete Optimization
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discrete optimization

Shahid Hussain

Ph.D. Student, Computer Science

machine learning discrete optimization

Research Interests Design and analysis of decision trees based on dynamic programming and greedy approaches Machine learning Discrete optimization Selected Publications Azad, M., Chikalov, I., Hussain, S., and Moshkov, M. Restricted multi-pruning of decision trees, In Machine Learning and Data Analytics Symposium as plenary talk (2016) (Awarded best paper). Busbait, M., Chikalov, I., Hussain, S., and Moshkov, M. Diagnosis of constant faults in read-once contact networks over finite bases. Discrete Applied Mathematics, 184 (2015), pp. 76–88. AbouEisha, H., Hussain, S., Lozin, V., Monnot, J

Michal A. Mankowski

Ph.D., Computer Science

Dynamic programming Combinatorial machine learning Complexity of algorithms discrete optimization

Mikhail Moshkov

Professor, Applied Mathematics and Computational Science

machine learning data mining discrete optimization algorithmic complexity

Professor Moshkov specializes in various areas of discrete applied mathematics, theoretical computer science and operations research. He is the author or co-author of more than 200 research publications, including 10 books published by Springer.

Extensions of Dynamic Programming, Machine Learning, Discrete Optimization (TREES)

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