| 研究課題/領域番号 |
20K11939
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| 研究機関 | 岩手県立大学 |
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研究代表者 |
チャクラボルティ バサビ 岩手県立大学, ソフトウェア情報学部, 教授 (90305293)
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| 研究期間 (年度) |
2020-04-01 – 2023-03-31
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| キーワード | feature subset selection / metaheuristic algorithm / quantum inspired |
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| 研究実績の概要 |
This year we have extended and applied our previously developed quantum inspired owl search algorithm (QIOSA) in last year for high dimensional microarray gene data. The algorithm has been modified to two step process to reduce computational time for high dimensional data by incorporating an ensemble based filter feature selection in the first step and a filter based search function in the final step to find out the optimal feature subset. Simulation experiments with several high dimensional data show that the proposed algorithm performs better than many state-of-the-art similar feature selection algorithms in terms of cardinality of the selected feature subset, classification accuracy and computational time.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
3: やや遅れている
理由
Due to COVID situations in India, we could not collaborate properly with our research collaborators in India. We could not execute our previous plans as institutions were closed for a long time. We could not also visit India to have longer collaborations for implementation of our algorithms and having input for one of the collaborators regarding quantum computing. We only could collaborate via zoom meetings.
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| 今後の研究の推進方策 |
As now COVID situation is slightly improved, principal investigator is planning to visit Collaborator's university to expedite the research, complete the implementation part pf quantum feature selection algorithm and proposal of the general framework of quantum machine learning with the help of members of research collaborators.
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| 次年度使用額が生じた理由 |
We could not attend international conference and use foreign resources due to border restrictions and unavailability respectively.
This year we plan to 1) Attend International conference to present our research result 2) Use foreign resources (quantum computer platform) for completion of research 3) Publish our research results in international journal
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