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ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

We then select the next smallest element in the array, which is 3. 3 is already in the correct position, so we don't need to swap it. We then select the next smallest element in the array, which is 4.

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...

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Dialogue systems rely on a careful reinforcement learning (RL) design: the learning algorithm and its state space representation. In lack of more rigorous knowledge, the designer resorts to its ...