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A Simulated Annealing-Based Learning Algorithm for ...
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由 A Albrecht 著作1999 — We describe a stochastic algorithm learning Boolean functions from positive and negative examples. The Boolean functions are represented by disjunctive ...
A Simulated Annealing-Based Learning Algorithm for Boolean ...
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Abstract. We describe a stochastic algorithm learning Boolean func- tions from positive and negative examples. The Boolean functions are.
A Simulated Annealing-Based Learning Algorithm for Boolean DNF ...
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The stochastic algorithm utilises logarithmic cooling schedules for inhomogeneous Markov chains. The paper focuses on experimental results and comparisons with ...
A Simulated Annealing-based Learning Algorithm For Boolean Dnf ...
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We describe a stochastic algorithm learning Boolean functions from positive and negative examples. The Boolean functions are represented by disjunctive ...
A Simulated Annealing-Based Learning Algorizhm for ...
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A Simulated Annealing-Based Learning Algorizhm for Boolean DFN. Details. Full ... A Simulated Annealing-Based Learning Algorizhm for Boolean DFN. Author(s).
缺少字詞： Algorithm DNF.
An O(nlog log n) learning algorithm for DNF under the uniform ...
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由 Y Mansour 著作1992被引用 148 次 — This property is used to derive a learning algorithm for DNF, under the uniform distribution. The learning algorithm uses queries and learns, with respect to ...
Norman Foo - Advanced Topics in Artificial Intelligence
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- A Simulated Annealing-Based Learning Algorithm for Boolean DNF.- A Genetic ... - Evolving Modular Neural Networks Using Rule-Based Genetic Programming.
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Approximation of Boolean Functions by Local Search
IBM Research
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由 A Albrecht 著作2004 — In ourpaper, we present a simulated annealing-based local search algorithm for the approximation of Boolean functions with a proven time ...
Learning Boolean formulas | Journal of the ACM
ACM Digital Library
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由 M Kearns 著作1994被引用 112 次 — Efficient distribution-free learning of Boolean formulas from positive and negative examples is considered. It is shown that classes of formulas that are ...
Cooling Schedules for Optimal Annealing - PubsOnLine
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由 B Hajek 著作1988被引用 1938 次 — A Monte Carlo optimization technique called “simulated annealing” is a descent algorithm modified by random ascent moves in order to escape local minima which ...
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