Approximate posterior inference for Bayesian models: black-box expectation propagation | 0 | 0.34 | 2022 |
Approximate continuous optimal transport with copulas | 0 | 0.34 | 2022 |
Weakly-supervised Text Classification with Wasserstein Barycenters Regularization | 0 | 0.34 | 2022 |
Weakly-supervised Text Classification with Wasserstein Barycenters Regularization. | 0 | 0.34 | 2022 |
Who Is Your Right Mixup Partner in Positive and Unlabeled Learning | 0 | 0.34 | 2022 |
Topic Extraction From Extremely Short Texts With Variational Manifold Regularization | 0 | 0.34 | 2021 |
Layer-Assisted Neural Topic Modeling over Document Networks. | 0 | 0.34 | 2021 |
Semantics-Assisted Wasserstein Learning for Topic and Word Embeddings | 0 | 0.34 | 2020 |
Classifying Extremely Short Texts by Exploiting Semantic Centroids in Word Mover's Distance Space | 0 | 0.34 | 2019 |
Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts | 0 | 0.34 | 2019 |
Relational Biterm Topic Model: Short-Text Topic Modeling using Word Embeddings | 3 | 0.39 | 2019 |
Short text topic modeling by exploring original documents. | 6 | 0.48 | 2018 |
Two time-efficient gibbs sampling inference algorithms for biterm topic model. | 2 | 0.36 | 2018 |
A More Time-Efficient Gibbs Sampling Algorithm Based On Sparselda For Latent Dirichlet Allocation | 0 | 0.34 | 2018 |
Exploring coherent topics by topic modeling with term weighting. | 3 | 0.41 | 2018 |
Supervised topic models with weighted words: multi-label document classification. | 0 | 0.34 | 2018 |
Empirical study on variational inference methods for topic models. | 0 | 0.34 | 2018 |
Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling. | 0 | 0.34 | 2018 |
Filtering out the noise in short text topic modeling. | 3 | 0.43 | 2018 |
Labelset topic model for multi-label document classification | 1 | 0.35 | 2016 |
Tuning the Learning Rate for Stochastic Variational Inference. | 1 | 0.34 | 2016 |
Boosting scene understanding by hierarchical pachinko allocation | 1 | 0.35 | 2016 |
A kernel-based centroid classifier using hypothesis margin | 0 | 0.34 | 2016 |
A survey of qualitative spatial representations. | 29 | 0.95 | 2015 |
Centroid prior topic model for multi-label classification | 1 | 0.35 | 2015 |
Topic modeling for large-scale text data | 3 | 0.40 | 2015 |
Group topic model: organizing topics into groups | 4 | 0.46 | 2015 |
Supervised labeled latent Dirichlet allocation for document categorization | 1 | 0.36 | 2015 |
Momentum Online LDA for Large-scale Datasets. | 1 | 0.36 | 2014 |
Hybrid improved gravitional search algorithm and kernel based extreme learning machine method for classification problems | 1 | 0.36 | 2014 |
Adaptive Centroid-Based Clustering Algorithm for Text Document Data | 1 | 0.36 | 2014 |
Curve length estimation based on cubic spline interpolation in gray-scale images | 0 | 0.34 | 2013 |
Representation for topological relations of four simple regions. | 0 | 0.34 | 2012 |
A computer aided diagnosis system for thyroid disease using extreme learning machine. | 23 | 0.70 | 2012 |
A new model for topological relations between convex regions. | 0 | 0.34 | 2011 |
A Heuristic Genetic Process Mining Algorithm | 1 | 0.41 | 2011 |
A Heuristic Genetic Process Mining Algorithm | 1 | 0.41 | 2011 |
A new hybrid collective classification method based on random walk and link pattern | 0 | 0.34 | 2011 |
Finding similar and discriminative parts of deformable shape classes. | 0 | 0.34 | 2011 |
A Model for Representing Topological Relations Between Simple Concave Regions | 8 | 0.67 | 2007 |