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Found 6 papers, 3 papers with code
Word centrality constrained representation for keyphrase extraction
Keyphrases provide a concise representation by identifying salient concepts in a document.
GDA-AM: ON THE EFFECTIVENESS OF SOLVING MIN-IMAX OPTIMIZATION VIA ANDERSON MIXING
We also empirically show that GDA-AM solves a variety of minimax problems and improves GAN training on several datasets
You Sound Like Someone Who Watches Drama Movies: Towards Predicting Movie Preferences from Conversational Interactions
We call our proposed method ConvExtr (Conversational Collaborative Filtering using External Data), which 1) infers a user{'}s sentiment towards an entity from the conversation context, and 2) transforms the ratings of {``}similar{''} external reviewers to predict the current user{'}s preferences.
TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records
TASTE combines the PARAFAC2 model with non-negative matrix factorization to model a temporal and a static tensor.
COPA: Constrained PARAFAC2 for Sparse & Large Datasets
To tackle these challenges, we propose a {\it CO}nstrained {\it PA}RAFAC2 (COPA) method, which carefully incorporates optimization constraints such as temporal smoothness, sparsity, and non-negativity in the resulting factors.
ACDC: $α$-Carving Decision Chain for Risk Stratification
The resulting chain of decision rules yields a pure subset of the minority class examples.
