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algorithms/active/sparse/pom.xml

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<name>LearnLib :: Algorithms :: Sparse</name>
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<description>
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This artifact provides the implementation of the Sparse OT learning algorithm as described in the paper
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"Learning Mealy Machines with Sparse Observation Tables" (TODO) by Wolffhardt Schwabe, Paul Kogel, and Sabine
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Glesner.
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"Learning Mealy Machines with Sparse Observation Tables" (https://doi.org/10.1007/978-3-032-05792-1_10) by
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Wolffhardt Schwabe, Paul Kogel, and Sabine Glesner.
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</description>
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<dependencies>

algorithms/active/sparse/src/main/java/de/learnlib/algorithm/sparse/SparseLearner.java

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import net.automatalib.word.Word;
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/**
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* Optimized implementation of the Ls learning algorithm, as described in the paper <a href="TODO">Learning Mealy
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* Machines with Sparse Observation Tables</a> by Wolffhardt Schwabe, Paul Kogel, and Sabine Glesner.
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* Optimized implementation of the Ls learning algorithm, as described in the paper <a
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* href="https://doi.org/10.1007/978-3-032-05792-1_10">Learning Mealy Machines with Sparse Observation Tables</a> by
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* Wolffhardt Schwabe, Paul Kogel, and Sabine Glesner.
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*/
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public class SparseLearner<I, O> extends GenericSparseLearner<Integer, I, O> {
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algorithms/active/sparse/src/main/java/module-info.java

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/**
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* This module provides the implementation of the Sparse OT learning algorithm as described in the paper <a
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* href="TODO">Learning Mealy Machines with Sparse Observation Tables</a> by Wolffhardt Schwabe, Paul Kogel, and Sabine
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* Glesner.
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* href="https://doi.org/10.1007/978-3-032-05792-1_10">Learning Mealy Machines with Sparse Observation Tables</a> by
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* Wolffhardt Schwabe, Paul Kogel, and Sabine Glesner.
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* <p>
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* This module is provided by the following Maven dependency:
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* <pre>

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