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EMNLP
2009
13 years 7 months ago
The infinite HMM for unsupervised PoS tagging
We extend previous work on fully unsupervised part-of-speech tagging. Using a non-parametric version of the HMM, called the infinite HMM (iHMM), we address the problem of choosing...
Jurgen Van Gael, Andreas Vlachos, Zoubin Ghahraman...
ICC
2009
IEEE
145views Communications» more  ICC 2009»
13 years 7 months ago
End-to-End Delay Approximation in Cascades of Generalized Processor Sharing Schedulers
Abstract This paper proposes an analytical method to evaluate the delay violation probability of traffic flows with statistical Quality-of-Service (QoS) guarantees in a Generalize...
Paolo Giacomazzi, Gabriella Saddemi
ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
14 years 1 months ago
Learning and adaptivity in interactive recommender systems
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
Tariq Mahmood, Francesco Ricci
MEDINFO
2007
132views Healthcare» more  MEDINFO 2007»
13 years 10 months ago
Comparing Decision Support Methodologies for Identifying Asthma Exacerbations
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
Judith W. Dexheimer, Laura E. Brown, Jeffrey Leego...
ECCV
2006
Springer
14 years 11 months ago
Smooth Image Segmentation by Nonparametric Bayesian Inference
A nonparametric Bayesian model for histogram clustering is proposed to automatically determine the number of segments when Markov Random Field constraints enforce smooth class assi...
Peter Orbanz, Joachim M. Buhmann