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AAAI
2004
15 years 6 months ago
Repeated Observation Models
Repetition is an important phenomenon in a variety of domains, such as music, computer programs and architectural drawings. A generative model for these domains should account for...
Avi Pfeffer
COLT
2008
Springer
15 years 6 months ago
Combining Expert Advice Efficiently
We show how models for prediction with expert advice can be defined concisely and clearly using hidden Markov models (HMMs); standard HMM algorithms can then be used to efficientl...
Wouter M. Koolen, Steven de Rooij
COLING
2008
15 years 6 months ago
A Syntactic Time-Series Model for Parsing Fluent and Disfluent Speech
This paper describes an incremental approach to parsing transcribed spontaneous speech containing disfluencies with a Hierarchical Hidden Markov Model (HHMM). This model makes use...
Tim Miller, William Schuler
ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
15 years 10 months ago
Mining Complex Time-Series Data by Learning Markovian Models
In this paper, we propose a novel and general approach for time-series data mining. As an alternative to traditional ways of designing specific algorithm to mine certain kind of ...
Yi Wang, Lizhu Zhou, Jianhua Feng, Jianyong Wang, ...
CDC
2008
IEEE
125views Control Systems» more  CDC 2008»
15 years 11 months ago
Estimation of non-stationary Markov Chain transition models
— Many decision systems rely on a precisely known Markov Chain model to guarantee optimal performance, and this paper considers the online estimation of unknown, nonstationary Ma...
Luca F. Bertuccelli, Jonathan P. How