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ACL
2006
15 years 6 months ago
Segment-Based Hidden Markov Models for Information Extraction
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
Zhenmei Gu, Nick Cercone
FS
2006
117views more  FS 2006»
15 years 4 months ago
Consistent Variance Curve Models
We introduce a general approach to model a joint market of stock price and a term structure of variance swaps in an HJM-type framework. In such a model, strongly volatility-depend...
Hans Buehler
VMCAI
2010
Springer
16 years 1 months ago
Advances in Probabilistic Model Checking
In the recent years, there have been a large amount of investigations on safety verification of uncertain continuous systems. In engineering and applied mathematics, this verificat...
Joost-Pieter Katoen
ECBS
2008
IEEE
110views Hardware» more  ECBS 2008»
15 years 11 months ago
Goal-Based Modeling of Dynamically Adaptive System Requirements
Self-adaptation is emerging as an increasingly important capability for many applications, particularly those deployed in dynamically changing environments, such as ecosystem moni...
Heather Goldsby, Peter Sawyer, Nelly Bencomo, Bett...
ICPR
2008
IEEE
15 years 11 months ago
Parameter-based reduction of Gaussian mixture models with a variational-Bayes approach
This paper 1 proposes a technique for simplifying a given Gaussian mixture model, i.e. reformulating the density in a more parcimonious manner, if possible (less Gaussian componen...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne