| H.D. Mathias. A model of interactive teaching, J. Comput. Syst. Sci., 54, 1997, 487-501. |
.... Applied Sciences Harvard University Cambridge, MA 02138 rocco deas.harvard.edu Keywords: computational learning theory, machine learning, teaching dimension 1 Introduction In recent years a number of researchers in learning theory have developed and analyzed computational models of teaching [8, 9, 10, 13, 16, 17, 18]. One motivation for this work is the hope that stronger and more realistic positive results might be achievable in a setting where labeled examples are provided by a helpful teacher rather than an omniscient adversary or a worst case probability distribution as is usually assumed in learning ....
....is the hope that stronger and more realistic positive results might be achievable in a setting where labeled examples are provided by a helpful teacher rather than an omniscient adversary or a worst case probability distribution as is usually assumed in learning theory. However, as discussed in [8, 9, 13, 16], any reasonable teaching model must disallow teacher learner collusion which trivializes the learning process for instance, it should not be possible for the teacher to simply encode a representation of the target concept in the instances it chooses for the learner according to a prearranged ....
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H.D. Mathias. A model of interactive teaching, J. Comput. Syst. Sci., 54, 1997, 487-501.
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