Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Training a learning algorithm is a costly task. A major goal of active learning is to reduce this cost.   introduce a new algorithm, KQBC, which is capable of actively learning large scale problems by using selective sampling. The algorithm overcomes the costly sampling step of the ll known Query By Committee (QBC) algorithm by projecting onto a low dimensional space. KQBC also enables the use of kernels, providing a simple way of extending QBC to the non-linear scenario. Sampling the low dimension space is done using the hit and run random walk.  demonstrate the success of this novel algorithm by applying it to both artificial and a real world problems.
['Ran Gilad-Bachrach', 'Amir Navot', 'Naftali Tishby']
I am writing a research paper on a idea Query by Committee Made Real
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