Spelling suggestions: "subject:"hidden markov delmodell"" "subject:"hidden markov cellmodell""
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Off-line cursive handwriting recognition using synthetic training dataVarga, Tamás January 2006 (has links)
Zugl.: Bern, Univ., Diss., 2006
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Dynamical characterization of Markov processes with varying orderBauer, Michael. January 2009 (has links)
Chemnitz, Techn. Univ., Masterarb., 2008.
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Swiss monetary policy rules, effects, and indicatorsPerruchoud, Alexander January 2007 (has links)
Zugl.: Basel, Univ., Diss., 2007 / Erscheinungsjahr auf der Haupttitels.: 2007
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Analysis of ion channels with hidden Markov models parameter identifiability and the problem of time interval omission /The, Yu-Kai. January 2005 (has links)
Freiburg i. Br., Univ., Diss., 2005.
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A Markov-Switching Equilibrium Correction Model for Intraday Futures and Stock Index ReturnsGiroud, Xavier. January 2004 (has links) (PDF)
Master-Arbeit Univ. St. Gallen, 2004.
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Event-based failure prediction an extended hidden Markov model approachSalfner, Felix January 2008 (has links)
Zugl.: Berlin, Humboldt-Univ., Diss., 2008
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Die Erwartungstheorie der Zinsstruktur : variable Zeitprämien, Regimeunsicherheit und Markov-Switching-Modelle ; eine empirischen Analyse für den deutschen Rentenmarkt /Perl, Robert. January 2003 (has links) (PDF)
Techn. Univ., Diss.--München, 2002.
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HMM-basierte Online Handschrifterkennung ein integrierter Ansatz zur Text- und Formelerkennung /Kosmala, Andreas. Unknown Date (has links) (PDF)
Universiẗat, Diss., 2000--Duisburg.
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Discriminative connectionist approaches for automatic speech recognition in carsMarí Hilario, Joan. Unknown Date (has links) (PDF)
Brandenburgische Techn. University, Diss., 2004--Cottbus.
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Dynamical characterization of Markov processes with varying orderBauer, Michael 26 January 2009 (has links) (PDF)
Time-delayed actions appear as an essential component of numerous systems especially in evolution processes, natural phenomena, and particular technical applications and are associated with the existence of a memory. Under common conditions, external forces or state dependent parameters modify the length of the delay with time. Consequently, an altered dynamical behavior emerges, whose characterization is compulsory for a deeper understanding of these processes. In this thesis, the well-investigated class of time-homogeneous finite-state Markov processes is utilized to establish a variation of memory length by combining a first-order Markov chain with a memoryless Markov chain of order zero. The fluctuations induce a non-stationary process, which is accomplished for two special cases: a periodic and a random selection of the available Markov chains. For both cases, the Kolmogorov-Sinai entropy as a characteristic property is deduced analytically and compared to numerical approximations to the entropy rate of related symbolic dynamics. The convergences of per-symbol and conditional entropies are examined in order to recognize their behavior when identifying unknown processes. Additionally, the connection from Markov processes with varying memory length to hidden Markov models is illustrated enabling further analysis. Hence, the Kolmogorov-Sinai entropy of hidden Markov chains is calculated by means of Blackwell’s entropy rate involving Blackwell’s measure. These results are used to verify the previous computations.
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