Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: "Selective sampling" is a form of directed search that can greatly increase the ability of a connectionist network to generalize accurately. Based on information from previous batches of samples, a network may be trained on data selectively sampled from regions in the domain that are unknown. This is realizable in cases when the distribution is known, or when the cost of drawing points from the target distribution is negligible compared to the cost of labeling them with the proper classification. The approach is justified by its applicability to the problem of training a network for por system security analysis. The benefits of selective sampling are studied analytically, and the results are confirmed experimentally.
['Les E. Atlas', 'David Cohn', 'Richard E. Ladner']
I am writing a research paper on a idea Training Connectionist Networks with Queries and Selective Sampling
[{"from": "human", "value": "I am writing a research paper on a idea Training Connectionist Networks with Queries and Selective Sampling"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: \"Selective sampling\" is a form of directed search that can greatly increase the ability of a connectionist network to generalize accurately. Based on information from previous batches of samples, a network may be trained on data selectively sampled from regions in the domain that are unknown. This is realizable in cases when the distribution is known, or when the cost of drawing points from the target distribution is negligible compared to the cost of labeling them with the proper classification. The approach is justified by its applicability to the problem of training a network for por system security analysis. The benefits of selective sampling are studied analytically, and the results are confirmed experimentally."}]