16 citations · 32 across the 2 of their papers we have counts for
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cs.AI2011★ 16 cited
A Comprehensive Trainable Error Model for Sung Music Queries
W. P. Birmingham, C. J. Meek
We propose a model for errors in sung queries, a variant of the hidden Markov model (HMM). This is a solution to the problem of identifying the degree of similarity between a (typi…
cs.AI2011★ 16 cited
Use of Markov Chains to Design an Agent Bidding Strategy for Continuous Double Auctions
W. P. Birmingham, E. H. Durfee, S. Park
As computational agents are developed for increasingly complicated e-commerce applications, the complexity of the decisions they face demands advances in artificial intelligence te…