System and method for active machine learning
An active learning, processor technology, applied in machine learning, neural learning methods, instruments, etc., can solve difficult, labor-intensive and other problems
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[0034] The following discussion is described with reference to the accompanying drawings Figures 1 to 11E and various embodiments of the present disclosure. However, it should be understood that the present disclosure is not limited to these embodiments, and all changes and / or their equivalents or substitutions also belong to the scope of the present disclosure.
[0035] Existing active learning strategies rely on uncertainty measures derived from classifiers for query sample selection. Due to the complexity of the label space, these active learning algorithms are not easily scalable to solve sequence learning problems. Consider a tokenized sequence with p tokens, where each token can belong to k possible classes. In view of this, there are kp possible combinations of marker sequences. This complexity grows exponentially with the length of the output.
[0036] Existing active learning methods face two major challenges when dealing with sequence learning tasks: (i) the "co...
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