The following pages link to 10.1162/jmlr.2003.3.4-5.993 (Q4656017):
Displaying 50 items.
- Modeling documents with Event Model (Q1736690) (← links)
- The value of news for economic developments (Q1740352) (← links)
- Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data (Q1741291) (← links)
- Adversarial classification using signaling games with an application to phishing detection (Q1741294) (← links)
- Efficient histogram dictionary learning for text/image modeling and classification (Q1741297) (← links)
- Micro-review synthesis for multi-entity summarization (Q1741329) (← links)
- Interpretation of text patterns (Q1741391) (← links)
- Modeling query-document dependencies with topic language models for information retrieval (Q1749179) (← links)
- Posteriors, conjugacy, and exponential families for completely random measures (Q1750082) (← links)
- Graph-induced restricted Boltzmann machines for document modeling (Q1750503) (← links)
- Bayesian analysis of dynamic linear topic models (Q1757661) (← links)
- Developing news-based economic policy uncertainty index with unsupervised machine learning (Q1782356) (← links)
- Consistency of variational Bayes inference for estimation and model selection in mixtures (Q1786584) (← links)
- The ubiquitous Ewens sampling formula (Q1790306) (← links)
- Opinion mining in management research: the state of the art and the way forward (Q1790397) (← links)
- Session-aware music recommendation via a generative model approach (Q1797774) (← links)
- Relatively-paired space analysis: learning a latent common space from relatively-paired observations (Q1799958) (← links)
- Video behaviour mining using a dynamic topic model (Q1931592) (← links)
- On learning conditional random fields for stereo (Q1931613) (← links)
- Regularized nonnegative shared subspace learning (Q1944970) (← links)
- Efficiently learning the preferences of people (Q1945014) (← links)
- Online Bayesian inference for the parameters of PRISM programs (Q1945138) (← links)
- Mean field inference for the Dirichlet process mixture model (Q1951990) (← links)
- Modeling temporal text streams using the local multinomial model (Q1952069) (← links)
- Infinite factorization of multiple non-parametric views (Q1959574) (← links)
- A segmented topic model based on the two-parameter Poisson-Dirichlet process (Q1959603) (← links)
- On posterior contraction of parameters and interpretability in Bayesian mixture modeling (Q1983595) (← links)
- Time-dependent Poisson reduced rank models for political text data analysis (Q2008098) (← links)
- Editorial: Business analytics: defining the field and identifying a research agenda (Q2008630) (← links)
- Hierarchical Dirichlet scaling process (Q2014581) (← links)
- Model selection in overlapping stochastic block models (Q2015159) (← links)
- Koopman operator framework for time series modeling and analysis (Q2022703) (← links)
- Using favorite data to analyze asymmetric competition: machine learning models (Q2023935) (← links)
- Robust initialization for learning latent Dirichlet allocation (Q2027245) (← links)
- Simultaneous dimension reduction and clustering via the NMF-EM algorithm (Q2036153) (← links)
- Word-class embeddings for multiclass text classification (Q2036741) (← links)
- Survival analysis via hierarchically dependent mixture hazards (Q2039791) (← links)
- PTEM: a popularity-based topical expertise model for community question answering (Q2044255) (← links)
- Robust supervised topic models under label noise (Q2051293) (← links)
- Topic extraction from extremely short texts with variational manifold regularization (Q2051303) (← links)
- HNS: hierarchical negative sampling for network representation learning (Q2053869) (← links)
- Infinite-dimensional gradient-based descent for alpha-divergence minimisation (Q2054493) (← links)
- Leveraging maximum entropy and correlation on latent factors for learning representations (Q2057737) (← links)
- Predicting the popularity of tweets using internal and external knowledge: an empirical Bayes type approach (Q2058547) (← links)
- A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering (Q2058771) (← links)
- Overlapping communities and roles in networks with node attributes: probabilistic graphical modeling, Bayesian formulation and variational inference (Q2060716) (← links)
- Effective implementations of topic modeling algorithms (Q2064399) (← links)
- A comprehensive survey and analysis of generative models in machine learning (Q2065961) (← links)
- Product-form estimators: exploiting independence to scale up Monte Carlo (Q2066757) (← links)
- Convergence of the algorithm of additive regularization of topic models (Q2071612) (← links)
