[PDF] Top 20 Bayesian Checking for Topic Models
Has 10000 "Bayesian Checking for Topic Models" found on our website. Below are the top 20 most common "Bayesian Checking for Topic Models".
Bayesian Checking for Topic Models
... We embed this discrepancy in a PPC and study it in several ways. First, we focus on topics that model their observations well; this helps separate interpretable topics from noisy topics (and “boiler- plate” topics, which ... See full document
11
Variational Inference in Nonconjugate Models
... Many models of interest, however, do not enjoy the properties required to take advantage of this easily derived ...nonconjugate models 1 include Bayesian logistic regression (Jaakkola and Jordan, ... See full document
27
Improved Bayesian Logistic Supervised Topic Models with Data Augmentation
... MedLDA models since they have the similar mechanism to improve the influence of supervision by tuning a regularization ...performing topic discovery and prediction jointly 4 ... See full document
9
Bayesian Unsupervised Topic Segmentation
... unsupervised topic segmentation, it is clear that there are other important indicators that are ignored by the current generation of unsupervised ...supervised topic segmentation (Passonneau and Litman, ... See full document
10
International Journal of Computer Science and Mobile Computing
... DIFFERENTIAL TOPIC MODELS 231 ...each topic and the topic sharing between ...the topic-word distribution are defined as Gaussian and encoded with domain ...the topic-word ... See full document
14
Nonparametric Bayesian Topic Modelling with Auxiliary Data
... on topic models that take into account addi- tional ...many topic models have been designed to perform bibliographic analy- sis by using auxiliary ...Author Topic model [Tu et al., ... See full document
189
Bayesian Diagnostic Checking of the Capital Asset Pricing Model
... regression models, such as the CAPM, within the Bayesian context. A Bayesian model checking tech- nique based upon the posterior predictive distribution was used to show that the CAPM could be ... See full document
17
Distributed Algorithms for Topic Models
... widely-used topic models, namely the Latent Dirichlet Allocation (LDA) model, and the Hierarchical Dirichet Process (HDP) ...hierarchical Bayesian extension of LDA to di- rectly account for ... See full document
28
A Semi Supervised Bayesian Network Model for Microblog Topic Classification
... Lee et al. (2011) classified tweets into pre-defined categories such as sports, technology, politics, etc. Instead of topic models, they constructed word vectors with tf-idf weights and utilized a Naive ... See full document
16
Analyzing Bayesian Crosslingual Transfer in Topic Models
... To this end, we first describe a specific formula- tion of knowledge transfer in multilingual topic models as a starting point of our analysis (Sec- tion 2.1). We then formulate Gibbs sampling as circular ... See full document
15
Improvements to the Bayesian Topic N Gram Models
... trained models: an n-gram model p(w|h) and a topic model ...simpler models such as linear interpolation (Gildea and Hofmann, ...the topic distribution as new inputs come ...our Bayesian ... See full document
11
Bayesian Hidden Topic Markov Models
... correlated topic modeling (CTM) allows for inference on the topic correlation struc- ture to be performed, it does not allow for the evolution of topics over ...correlated topic model, re- laxes the ... See full document
120
Act-Topic Patterns for Automatically Checking Dialogue Models
... dialogue models are evaluated today, this is normally done by using some evaluation method to collect data, often involving users interacting with the system model, and then subsequently analysing the collected ... See full document
6
Topic Models with Logical Constraints on Words
... consider topic analysis of a cor- pus with movie reviews for illustrative pur- ...same topic, while ‘dicaprio’ (means Leonardo DiCaprio) and ‘kung-fu’ should not appear in the same ... See full document
8
Hiearchie: Visualization for Hierarchical Topic Models
... not easily support data-dense hierarchies, such as hierarchical topic models. Nested lists can be hard to navigate as they fail to maintain the same size and approximate structure during exploration. An ... See full document
8
Preventive Maintenance Topic Models for LNG
... preventive LNG cargo containment system maintenance models using LNGC dock specifications in 284. various LNGCs of various ages[r] ... See full document
12
A Method of Accounting Bigrams in Topic Models
... The less the value of perplexity is the better the model predicts words w in documents D. Although there were numerous studies arguing that perplex- ity is not suited to topic model evaluation (Chang et al., 2009; ... See full document
9
Efficient Learning for Undirected Topic Models
... Replicated Softmax model (RSM) (Hinton and Salakhutdinov, 2009), a kind of typical undirected topic model, is composed of a family of Restricted Boltzmann Machines (RBMs). Commonly, RSM is learned like standard ... See full document
6
Optimizing Semantic Coherence in Topic Models
... our topic coherence metric, table 1 shows three example topics and their topic coherence ...first topic, related to grant-funded training pro- grams, is one of the best-scoring ...second ... See full document
11
Speeding Document Annotation with Topic Models
... mation for choosing documents to labels. It con- siders the scenario when users are given a large document collection and are asked to categorize the documents without any other information. Thus, we show randomly chosen ... See full document
7
Related subjects