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» Modeling word burstiness using the Dirichlet distribution
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ICML
2008
IEEE
16 years 6 months ago
An HDP-HMM for systems with state persistence
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
IJCNLP
2005
Springer
15 years 11 months ago
A Comparative Study of Language Models for Book and Author Recognition
Abstract. Linguistic information can help improve evaluation of similarity between documents; however, the kind of linguistic information to be used depends on the task. In this pa...
Özlem Uzuner, Boris Katz
BMCBI
2008
92views more  BMCBI 2008»
15 years 6 months ago
A semiparametric modeling framework for potential biomarker discovery and the development of metabonomic profiles
Background: The discovery of biomarkers is an important step towards the development of criteria for early diagnosis of disease status. Recently electrospray ionization (ESI) and ...
Samiran Ghosh, David F. Grant, Dipak K. Dey, Denni...
SIGMETRICS
2002
ACM
104views Hardware» more  SIGMETRICS 2002»
15 years 5 months ago
Improving cluster availability using workstation validation
We demonstrate a framework for improving the availability of cluster based Internet services. Our approach models Internet services as a collection of interconnected components, e...
Taliver Heath, Richard P. Martin, Thu D. Nguyen
NAACL
1994
15 years 7 months ago
On Using Written Language Training Data for Spoken Language Modeling
We attemped to improve recognition accuracy by reducing the inadequacies of the lexicon and language model. Specifically we address the following three problems: (1) the best size...
Richard M. Schwartz, Long Nguyen, Francis Kubala, ...