In a more realistic setting, we give an adaptive state-merging algorithm satisfying the stringent algorithmic constraints of the data streams computing paradigm ...
Learning Finite-State Machines: Statistical and Algorithmic Aspects. Borja de Balle Pigem. Supervisors: Jorge Castro and Ricard Gavald`a. Department of ...
Jul 12, 2013 · This thesis gives the first application of this method for learning conditional distributions over pairs of aligned sequences and proves ...
Jul 12, 2013 · On one line of work we study algorithms for learning the probabilistic analog of Deterministic Finite Automata (DFA). This provides a fairly ...
Borja Balle: Learning finite-state machines: statistical and algorithmic aspects. Polytechnic University of Catalonia, Spain, 2013.
Jun 9, 2014 · No. Intuitively, an algorithm can only be represented as an FSM if it uses only a finite amount of state. For instance, you couldn't sort an ...
Missing: statistical aspects.
We present an active learning algorithm for inferring ex- tended finite state machines (EFSM)s, combining data flow and control behavior. Key to our learning ...
Jun 6, 2022 · Trans., Vol 11(5), pp. 393--407. Springer Science and Business Media LLC. Learning finite-state machines: statistical and algorithmic aspects [ ...
Aug 20, 2024 · A Finite State Automaton (FSA), also known as a Finite State Machine ... Learning finite-state machines: statistical and algorithmic aspects.
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Learning finite-state machines: statistical and algorithmic aspects . Balle Pigem, Borja de (Date of defense: 2013-07-12). The present thesis addresses ...