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On Mixtures of Markov Chains
We study the problem of reconstructing a mixture of Markov chains from the trajectories generated by random walks through the state space.
A PAC Approach to Application-Specific Algorithm Selection
While there is a large literature on empirical approaches to selecting the best algorithm for a given application domain, there has been surprisingly little theoretical analysis of the problem.
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