Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describe a generalisation of the multiple-instance learning model in which a bag's label is not based on a single instance's proximity to a single target point. Rather, a bag is positive if and only if it contains a collection of instances, each near one of a set of target points.  then adapt a learning-theoretic algorithm for learning in this model and present empirical results on data from robot vision, content-based image retrieval, and protein sequence identification.
['Stephen D. Scott', 'Jun Zhang', 'Joshua Brown']
I am writing a research paper on a idea ON GENERALIZED MULTIPLE-INSTANCE LEARNING
[{"from": "human", "value": "I am writing a research paper on a idea ON GENERALIZED MULTIPLE-INSTANCE LEARNING"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describe a generalisation of the multiple-instance learning model in which a bag's label is not based on a single instance's proximity to a single target point. Rather, a bag is positive if and only if it contains a collection of instances, each near one of a set of target points.  then adapt a learning-theoretic algorithm for learning in this model and present empirical results on data from robot vision, content-based image retrieval, and protein sequence identification."}]