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Uses of RelevanceFunction in de.aitools.ir.retrievalmodels.relevance |
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Subinterfaces of RelevanceFunction in de.aitools.ir.retrievalmodels.relevance | |
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interface |
SimilarityMeasure<Q,R>
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Uses of RelevanceFunction in de.aitools.ir.retrievalmodels.relevance.algebraic |
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Classes in de.aitools.ir.retrievalmodels.relevance.algebraic that implement RelevanceFunction | |
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class |
CosineSimilarity
This class computes the cosine similarity between two vector representations. |
class |
DotProductSimilarity
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class |
JaccardSimilarity<E>
The Jaccard coefficient measures similarity between sample sets, and is defined as the size of the intersection divided by the size of the union of the sample sets. |
Uses of RelevanceFunction in de.aitools.ir.retrievalmodels.relevance.probabilistic |
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Classes in de.aitools.ir.retrievalmodels.relevance.probabilistic that implement RelevanceFunction | |
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class |
JensenShannonDivergence
Implementation of the JensenShannonDivergence.JensenShannonDivergence() based on the remarks
in Divergence measures based on the Shannon
entropy by Jianhua Lin. |
class |
KullbackLeiblerDivergence
Implementation of the KullbackLeiblerDivergence.KullbackLeiblerDivergence() based on the
remarks made by Jianhua Lin in Divergence measures based on the Shannon
entropy. |
class |
PointwiseKullbackLeiblerDivergence
Pointwise Kullback-Leibler Divergence for a term x is defined as the expected loss of information of the entire probability distribution. |
Uses of RelevanceFunction in de.aitools.ir.retrievalmodels.retrievalmodel |
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Constructors in de.aitools.ir.retrievalmodels.retrievalmodel with parameters of type RelevanceFunction | |
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VectorSpaceModel(Representer<java.lang.String,Vector> representer,
RelevanceFunction<Vector,Vector> rho)
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