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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 5 days ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
INTERSPEECH
2010
14 years 6 months ago
Topic and style-adapted language modeling for Thai broadcast news ASR
The amount of available Thai broadcast news transcribed text for training a language model is still very limited, comparing to other major languages. Since the construction of a b...
Markpong Jongtaveesataporn, Sadaoki Furui
ICML
2006
IEEE
16 years 13 days ago
Pachinko allocation: DAG-structured mixture models of topic correlations
Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization and manifold discovery in discrete data. However, LDA does not ca...
Wei Li, Andrew McCallum
CHI
2008
ACM
16 years 1 days ago
The network in the garden: an empirical analysis of social media in rural life
History repeatedly demonstrates that rural communities have unique technological needs. Yet, we know little about how rural communities use modern technologies, so we lack knowled...
Eric Gilbert, Karrie Karahalios, Christian Sandvig
ICML
2004
IEEE
16 years 13 days ago
The Bayesian backfitting relevance vector machine
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal