ENTITY
Latent factor models of high frequency financial time series
Latent factor models of high frequency financial time series
PulseAugur coverage of Latent factor models of high frequency financial time series — every cluster mentioning Latent factor models of high frequency financial time series across labs, papers, and developer communities, ranked by signal.
Total · 30d
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2 over 90d
Releases · 30d
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0 over 90d
Papers · 30d
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2 over 90d
TIER MIX · 90D
TOPICS
SENTIMENT · 30D
1 day(s) with sentiment data
RECENT · PAGE 1/1 · 2 TOTAL
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Linear Autoencoders Reveal Topics in Recommender Systems
Researchers have demonstrated a connection between linear autoencoders and topic models, showing that latent topics can be extracted directly from the weight matrix of a closed-form linear autoencoder. This method allow…
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New method links linear autoencoders to topic discovery in recommendations
Researchers have demonstrated a method to discover latent topics from the weight matrix of a closed-form linear autoencoder, establishing a connection between linear recommenders and topic models. This approach allows f…