Any code reproduce this paper “Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure”Why a restricted Boltzman machine (RBM) tends to learn very similar weights?User-based nearest neighbour implementation in R?Finding the top K most similar setsHidden neuron representation of weightsWhat are some function/package in R to find similarity of individual words not in the context of sentences?Sentence similarity predictionCalculate similarity on boolean dataClustering 1-gram StringsHow to generate a sample from a generative model like a Restricted Boltzmann Machine?Similarity of Dictionaries Using Cosine Similarity

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Any code reproduce this paper “Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure”


Why a restricted Boltzman machine (RBM) tends to learn very similar weights?User-based nearest neighbour implementation in R?Finding the top K most similar setsHidden neuron representation of weightsWhat are some function/package in R to find similarity of individual words not in the context of sentences?Sentence similarity predictionCalculate similarity on boolean dataClustering 1-gram StringsHow to generate a sample from a generative model like a Restricted Boltzmann Machine?Similarity of Dictionaries Using Cosine Similarity













-2












$begingroup$


So far I've only found python lib for NCA at https://metric-learn.github.io/metric-learn/metric_learn.nca.html.










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    -2












    $begingroup$


    So far I've only found python lib for NCA at https://metric-learn.github.io/metric-learn/metric_learn.nca.html.










    share|improve this question







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    $endgroup$














      -2












      -2








      -2





      $begingroup$


      So far I've only found python lib for NCA at https://metric-learn.github.io/metric-learn/metric_learn.nca.html.










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      $endgroup$




      So far I've only found python lib for NCA at https://metric-learn.github.io/metric-learn/metric_learn.nca.html.







      similarity rbm






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      asked 12 hours ago









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