We study the learnability of monotone term decision
lists in the exact model of equivalence and membership
queries. We show that, for any constant k>0, k-term
monotone decision lists are exactly and properly learnable
with n^O(k) membership queries in O(n^(k^3)) time.
We also show n^Omega(k) membership queries are
necessary for exact learning. In contrast, both k-term
monotone decision lists (k>1) and general monotone decision
lists are not learnable with equivalence queries alone.
CitationGuijarro, D., Lavin, V., Raghavan, V. "Learning monotone term decision lists". 1996.
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