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CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
15 years 4 months ago
Input design using Markov chains for system identification
This paper studies the input design problem for system identification where time domain constraints have to be considered. A finite Markov chain is used to model the input of the s...
Chiara Brighenti, Bo Wahlberg, Cristian R. Rojas
92
Voted
NIPS
2007
15 years 1 months ago
Collective Inference on Markov Models for Modeling Bird Migration
We investigate a family of inference problems on Markov models, where many sample paths are drawn from a Markov chain and partial information is revealed to an observer who attemp...
Daniel Sheldon, M. A. Saleh Elmohamed, Dexter Koze...
BMCBI
2010
101views more  BMCBI 2010»
15 years 17 days ago
Hidden Markov model speed heuristic and iterative HMM search procedure
Background: Profile hidden Markov models (profile-HMMs) are sensitive tools for remote protein homology detection, but the main scoring algorithms, Viterbi or Forward, require con...
L. Steven Johnson, Sean R. Eddy, Elon Portugaly
85
Voted
KDD
2001
ACM
149views Data Mining» more  KDD 2001»
16 years 25 days ago
Maximum entropy methods for biological sequence modeling
Many of the same modeling methods used in natural languages, speci cally Markov models and HMM's, have also been applied to biological sequence analysis. In recent years, nat...
Eugen C. Buehler, Lyle H. Ungar
135
Voted
ECML
2007
Springer
15 years 2 months ago
Sequence Labeling with Reinforcement Learning and Ranking Algorithms
Many problems in areas such as Natural Language Processing, Information Retrieval, or Bioinformatic involve the generic task of sequence labeling. In many cases, the aim is to assi...
Francis Maes, Ludovic Denoyer, Patrick Gallinari