Reviews: Interactive Structure Learning with Structural Query-by-Committee
–Neural Information Processing Systems
This paper formulates a framework which unifies several interactive learning problems with a structure such as interactive clustering. Next, the authors show that QBC can be generalized and kernelized to solve the problems in the framework. The consistency and rate of convergence are analyzed. I do not think I could judge the novelty of the theorems and proofs well. Thus, my comments focus on the practicality of the proposed algorithm, which I believe is relevant to its significance and the impact to the field.
Neural Information Processing Systems
Oct-7-2024, 04:29:59 GMT