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» Aggregation-based model reduction of a Hidden Markov Model
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SIGDIAL
2010
15 years 2 months ago
Modeling User Satisfaction Transitions in Dialogues from Overall Ratings
This paper proposes a novel approach for predicting user satisfaction transitions during a dialogue only from the ratings given to entire dialogues, with the aim of reducing the c...
Ryuichiro Higashinaka, Yasuhiro Minami, Kohji Dohs...
ICDAR
2009
IEEE
15 years 1 months ago
Stochastic Segment Modeling for Offline Handwriting Recognition
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
Premkumar Natarajan, Krishna Subramanian, Anurag B...
IJFCS
2008
49views more  IJFCS 2008»
15 years 4 months ago
A Markovian Approach for the Analysis of the gene Structure
Hidden Markov models (HMMs) are effective tools to detect series of statistically homogeneous structures, but they are not well suited to analyse complex structures. Numerous meth...
Christelle Melo de Lima, Laurent Gueguen, Christia...
BMCBI
2011
14 years 11 months ago
Accurate statistics for local sequence alignment with position-dependent scoring by rare-event sampling
Background: Molecular database search tools need statistical models to assess the significance for the resulting hits. In the classical approach one asks the question how probable...
Stefan Wolfsheimer, Inke Herms, Sven Rahmann, Alex...
CIDU
2010
15 years 2 months ago
Tracking Climate Models
Abstract. Climate models are complex mathematical models designed by meteorologists, geophysicists, and climate scientists to simulate and predict climate. Given temperature predic...
Claire Monteleoni, Gavin Schmidt, Shailesh Saroha