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» Selectivity Estimation using Probabilistic Models
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CSB
2003
IEEE
15 years 5 months ago
A Probabilistic Model for Identifying Protein Names and their Name Boundaries
This paper proposes a method for identifying protein names in biomedical texts with an emphasis on detecting protein name boundaries. We use a probabilistic model which exploits s...
Kazuhiro Seki, Javed Mostafa
ICASSP
2008
IEEE
15 years 6 months ago
Newton method for the ICA mixture model
We derive an asymptotic Newton algorithm for Quasi Maximum Likelihood estimation of the ICA mixture model, using the ordinary gradient and Hessian. The probabilistic mixture frame...
Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delg...
IJCAI
2007
15 years 1 months ago
Metric Properties of Structured Data Visualizations through Generative Probabilistic Modeling
Recently, generative probabilistic modeling principles were extended to visualization of structured data types, such as sequences. The models are formulated as constrained mixture...
Peter Tino, Nikolaos Gianniotis
ECIR
2008
Springer
15 years 1 months ago
Probabilistic Document Length Priors for Language Models
This paper addresses the issue of devising a new document prior for the language modeling (LM) approach for Information Retrieval. The prior is based on term statistics, derived in...
Roi Blanco, Alvaro Barreiro
TACAS
2004
Springer
132views Algorithms» more  TACAS 2004»
15 years 5 months ago
Numerical vs. Statistical Probabilistic Model Checking: An Empirical Study
Numerical analysis based on uniformisation and statistical techniques based on sampling and simulation are two distinct approaches for transient analysis of stochastic systems. We ...
Håkan L. S. Younes, Marta Z. Kwiatkowska, Ge...