首页|Findings from Victoria University Wellington Yields New Findings on Computationa l Intelligence (Artificial Bee Colony for Multilabel Feature Selection: a Logic -guided Approach With Correlationdriven Refinement)
Findings from Victoria University Wellington Yields New Findings on Computationa l Intelligence (Artificial Bee Colony for Multilabel Feature Selection: a Logic -guided Approach With Correlationdriven Refinement)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning - Comp utational Intelligence is now available.According to news reporting originating in Wellington, New Zealand, by NewsRx journalists, researchstated, “Multi-labe l feature selection is an emerging topic that focuses on selecting the relevant andinformative features (attributes or variables) from a dataset when dealing w ith multi-label classification(MLC) problems. In the context of MLC, where feat ure interactions can vary significantly, evolutionarycomputation (EC) technique s might provide a more adaptive and flexible feature selection mechanism.”
WellingtonNew ZealandAustralia and N ew ZealandComputational IntelligenceMachine LearningVictoria University We llington
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