Introduction to automata theory, languages, and computation, 2nd edition
By John E. Hopcroft, Rajeev Motwani, Jeffrey D. Ullman. SIGA, 2001
1,332 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/0e90986bb100ba00d70727cf48dc44460847c05b
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Citations in the corpus
- Introduction to Information Retrieval (2008, neutral): “The underlying computer science appears in (Hopcroft et al. 2000).”
- Building a Conversational Agent Overnight with Dialogue Self-Play (2018, background): “B S is modeled as a fi-nite state machine (Hopcroft et al. (2006)) which encodes a set of task-independent rules for constructing system turns, with each turn consisting of a response frame which responds to the user’s previous turn, and an initiate frame which drives the dialogue forward through a…”
- Solving Connectivity Problems Parameterized by Treewidth in Single Exponential Time (2011, background): “In this case two partial solutions of a subtree of the tree decomposition are said to be equivalent if they are consistent with the same set of partial solutions on the remainder of the tree decomposition [37].”
- Small permutation classes (2007, background): “J. E. Hopcroft, R. Motwani and J. D. Ullman, Introduction to automata theory, languages, and computation, 2nd edn (Addison-Wesley, Reading, MA, 2001).”
- From Nondeterministic Buchi and Streett Automata to Deterministic Parity Automata (2006, neutral): “By dualizing the acceptance condition of the deterministic automaton we get an automaton for the complement language, which is again tight [HMU00].”
- Deterministic single exponential time algorithms for connectivity problems parameterized by treewidth (2013, background): “…dynamic programming routines for connectivity problems all information stored seemed needed: Given two partial solutions inducing differ-ent connectivity properties, one can be extendable to a solution while the other one can not (this resembles the notion of Myhill-Nerode equivalence classes [12]).”