The following pages link to 10.1162/jmlr.2003.3.4-5.993 (Q4656017):
Displaying 50 items.
- Acceptable set topic modeling (Q2077938) (← links)
- Bayesian bi-clustering methods with applications in computational biology (Q2080793) (← links)
- A new document representation based on global policy for supervised term weighting schemes in text categorization (Q2086896) (← links)
- Factor and hybrid components for model-based clustering (Q2089297) (← links)
- Adaptive infinite dropout for noisy and sparse data streams (Q2102355) (← links)
- Bayesian learning via neural Schrödinger-Föllmer flows (Q2104005) (← links)
- Likelihood estimation of sparse topic distributions in topic models and its applications to Wasserstein document distance calculations (Q2112814) (← links)
- Media-expressed tone, option characteristics, and stock return predictability (Q2115956) (← links)
- LMMS reloaded: transformer-based sense embeddings for disambiguation and beyond (Q2124431) (← links)
- Dual-channel hybrid community detection in attributed networks (Q2126234) (← links)
- Chimeral clustering (Q2129309) (← links)
- Dynamic hierarchical Dirichlet processes topic model using the power prior approach (Q2132030) (← links)
- Data driven Dirichlet sampling on manifolds (Q2132677) (← links)
- Efficient binary embedding of categorical data using BinSketch (Q2134033) (← links)
- Multivariate mixed membership modeling: inferring domain-specific risk profiles (Q2135361) (← links)
- Personalized recommendation via network-based inference with time (Q2136775) (← links)
- Modeling latent topics in social media using dynamic exploratory graph analysis: the case of the right-wing and left-wing trolls in the 2016 US elections (Q2141647) (← links)
- Local and global topics in text modeling of web pages nested in web sites (Q2143032) (← links)
- Ranking with submodular functions on a budget (Q2147409) (← links)
- Hierarchical Bayesian text modeling for the unsupervised joint analysis of latent topics and semantic clusters (Q2152511) (← links)
- A privacy-preserving multi-keyword search approach in cloud computing (Q2152914) (← links)
- Climate uncertainty and carbon emissions prices: the relative roles of transition and physical climate risks (Q2159842) (← links)
- Business analytics for corporate risk management and performance improvement (Q2171319) (← links)
- A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics (Q2174980) (← links)
- Multilayer bootstrap networks (Q2179833) (← links)
- DOLDA: a regularized supervised topic model for high-dimensional multi-class regression (Q2184404) (← links)
- Changing channels: divergent approaches to the creative streaming of texts (Q2188769) (← links)
- Acronyms: identification, expansion and disambiguation (Q2188774) (← links)
- Fast and effective cluster-based information retrieval using frequent closed itemsets (Q2195391) (← links)
- \(\alpha\)-variational inference with statistical guarantees (Q2196198) (← links)
- Relational intelligence recognition in online social networks -- a survey (Q2197797) (← links)
- Propositionalization and embeddings: two sides of the same coin (Q2203327) (← links)
- Issues of stability and uniqueness of stochastic matrix factorization (Q2207513) (← links)
- Characterization of topic-based online communities by combining network data and user generated content (Q2209707) (← links)
- Sampling hierarchies of discrete random structures (Q2209723) (← links)
- Bayesian mean-parameterized nonnegative binary matrix factorization (Q2212539) (← links)
- Learning with fuzzy hypergraphs: a topical approach to query-oriented text summarization (Q2215059) (← links)
- Convergence rates of variational posterior distributions (Q2215731) (← links)
- Theoretical and computational guarantees of mean field variational inference for community detection (Q2215750) (← links)
- Weak approximation of transformed stochastic gradient MCMC (Q2217448) (← links)
- Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data (Q2218343) (← links)
- The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models (Q2218353) (← links)
- Topical network embedding (Q2218399) (← links)
- \textsc{gat2vec}: representation learning for attributed graphs (Q2218429) (← links)
- Monitoring rare categories in sentiment and opinion analysis: a Milan mega event on Twitter platform (Q2220303) (← links)
- Latent theme dictionary model for finding co-occurrent patterns in process data (Q2220545) (← links)
- The role of scale in the estimation of cell-type proportions (Q2233169) (← links)
- Correctness of sequential Monte Carlo inference for probabilistic programming languages (Q2233471) (← links)
- Some thoughts on knowledge-enhanced machine learning (Q2237522) (← links)
- The value of text for small business default prediction: a deep learning approach (Q2239924) (← links)
