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ICML
2010
IEEE
13 years 7 months ago
Spherical Topic Models
We introduce the Spherical Admixture Model (SAM), a Bayesian topic model for arbitrary 2 normalized data. SAM maintains the same hierarchical structure as Latent Dirichlet Allocat...
Joseph Reisinger, Austin Waters, Bryan Silverthorn...
ECML
2007
Springer
14 years 1 months ago
Statistical Debugging Using Latent Topic Models
Abstract. Statistical debugging uses machine learning to model program failures and help identify root causes of bugs. We approach this task using a novel Delta-Latent-Dirichlet-Al...
David Andrzejewski, Anne Mulhern, Ben Liblit, Xiao...
ICML
2006
IEEE
14 years 8 months ago
Topic modeling: beyond bag-of-words
Some models of textual corpora employ text generation methods involving n-gram statistics, while others use latent topic variables inferred using the "bag-of-words" assu...
Hanna M. Wallach
EWMF
2005
Springer
14 years 28 days ago
Semi-automatic Construction of Topic Ontologies
In this paper, we review two techniques for topic discovery in collections of text documents (Latent Semantic Indexing and K-Means clustering) and present how we integrated them in...
Blaz Fortuna, Dunja Mladenic, Marko Grobelnik
SPIRE
2004
Springer
14 years 23 days ago
Indexing Text Documents Based on Topic Identification
This work provides algorithms and heuristics to index text documents by determining important topics in the documents. To index text documents, the work provides algorithms to gene...
Manonton Butarbutar, Susan McRoy