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» Modeling word burstiness using the Dirichlet distribution
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SIGMETRICS
2000
ACM
15 years 4 months ago
TCP in presence of bursty losses
In this paper we analyze the performance of a TCP-like flow control in a lossy environment. The transmission rate in the control scheme that we consider has a linear growth rate;...
Eitan Altman, Konstantin Avrachenkov, Chadi Baraka...
CORR
2010
Springer
183views Education» more  CORR 2010»
14 years 10 months ago
Discovering shared and individual latent structure in multiple time series
This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
Suchi Saria, Daphne Koller, Anna Penn
ISMIR
2005
Springer
205views Music» more  ISMIR 2005»
15 years 5 months ago
Learning Harmonic Relationships in Digital Audio with Dirichlet-Based Hidden Markov Models
Harmonic analysis is a standard musicological tool for understanding many pieces of Western classical music and making comparisons among them. Traditionally, this analysis is done...
J. Ashley Burgoyne, Lawrence K. Saul
ACL
2010
14 years 9 months ago
A Bayesian Method for Robust Estimation of Distributional Similarities
Existing word similarity measures are not robust to data sparseness since they rely only on the point estimation of words' context profiles obtained from a limited amount of ...
Jun'ichi Kazama, Stijn De Saeger, Kow Kuroda, Masa...
CSDA
2010
208views more  CSDA 2010»
14 years 11 months ago
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
Raffaele Argiento, Alessandra Guglielmi, Antonio P...