Peter C. M. Molenaar - researchr profile publications

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Publications tagged Markov

Learning Hidden Markov Models for Regression using Path AggregationKeith Noto, Mark Craven. uai 2008: 444-451 [doi]

A simple method for citation metadata extraction using hidden markov modelsErik Hetzner. JCDL 2008: 280-284 [doi]

ECG segmentation in a body sensor network using Hidden Markov ModelsHuaming Li, Jindong Tan. ipps 2008: 1-5 [doi]

Indispensable monomials of toric ideals and Markov basesSatoshi Aoki, Akimichi Takemura, Ruriko Yoshida. JSC, 43(6-7):490-507, 2008. [doi]

Detecting and Exploiting Symmetry in Discrete-State Markov ModelsW. Douglas Obal II, Michael G. McQuinn, William H. Sanders. tr, 56(4):643-654, 2007. [doi]

Oscillation of Fourier transforms and Markov-Bernstein inequalitiesSzilárd Gy. Révész, Noli N. Reyes, Gino Angelo M. Velasco. jat, 145(1):100-110, 2007. [doi]

An analytic solution for estimating two-dimensional hidden Markov modelsLi Yujian. amc, 185(2):810-822, 2007. [doi]

Exact Markov inequalities for the Hermite and Laguerre weightsLozko Milev, Nikola Naidenov. jat, 138(1):87-96, 2006. [doi]

Turán type reverse Markov inequalities for compact convex setsSzilárd Gy. Révész. jat, 141(2):162-173, 2006. [doi]

Gene Expression Time Course Clustering with Countably Infinite Hidden Markov ModelsMatthew J. Beal, Praveen Krishnamurthy. uai 2006: [doi]

Application des algorithmes évolutionnaires pour l estimation du mouvement à l aide des champs de MarkovAlbert Dipanda, Sophie Voisin. tsi, 25(8-9):1079-1102, 2006. [doi]

A Characterization of Meaningful Schedulers for Continuous-Time Markov Decision ProcessesNicolás Wolovick, Sven Johr. formats 2006: 352-367 [doi]

Triplet Markov chain for 3D MRI brain segmentation using a probabilistic atlasStephanie Bricq, Christophe Collet, Jean-Paul Armspach. isbi 2006: 386-389 [doi]

A note on Bernstein and Markov type inequalitiesDimiter Dryanov, R. Fournier. jat, 136(1):84-90, 2005. [doi]

Lifting Markov Chains to Random Walks on GroupsOnn Chan, Tao-Kai Lam. cpc, 14(3):269-273, 2005. [doi]

OOMSE-An Object Oriented Markov Chain Specification and Evaluation FrameworkHertong Song, Chokchai Leangsuksun, Raja Nassar. seke 2005: 229-234

Contextual Hidden Markov Tree Model for Signal DenoisingMing-Yu Shih, Din-Chang Tseng. jise, 21(6):1261-1275, 2005. [doi]

A Hidden Markov Technique for Haplotype ReconstructionPasi Rastas, Mikko Koivisto, Heikki Mannila, Esko Ukkonen. wabi 2005: 140-151 [doi]

Parallel algorithms for Markov chain Monte Carlo methods in latent spatial Gaussian modelsMatt Whiley, Simon P. Wilson. sac, 14(3):171-179, 2004. [doi]

Total Reward Variance in Discrete and Continuous Time Markov ChainsKarel Sladký, Nico M. van Dijk. or 2005: 319-326 [doi]

Numerical simulation of stochastic evolution equations associated to quantum Markov semigroupsCarlos M. Mora. moc, 73(247):1393-1415, 2004.

Optimal Resource Allocation and Policy Formulation in Loosely-Coupled Markov Decision ProcessesDmitri A. Dolgov, Edmund H. Durfee. aips 2004: 315-324

A Defection Detection Procedure Using SOM and Markov Chain: A Case of On-line Game ProvidersKyunghee Chae, Heeseok Song, Juchoel Choi. icebe 2004: 233-238

Factor analysed hidden Markov models for speech recognitionAntti-Veikko I. Rosti, M. J. F. Gales. csl, 18(2):181-200, 2004. [doi]

Optimal error exponents in hidden Markov models order estimationElisabeth Gassiat, Stéphane Boucheron. TIT, 49(4):964-980, 2003.

Markov inequality for polynomials of degree n with m distinct zerosDavid Benko, Tamás Erdélyi. jat, 122(2):241-248, 2003. [doi]

Fitting hidden Markov models to psychological dataIngmar Visser, Maartje E. J. Raijmakers, Peter C. M. Molenaar. sp, 10(3):185-199, 2002.

Asymptotics of the Best Constant in a Certain Markov-Type InequalityPeter Dörfler. jat, 114(1):84-97, 2002. [doi]

L::p:: Markov-Bernstein Inequalities on All Arcs of the CircleKiddnan Kobindarajah, Doron S. Lubinsky. jat, 116(2):343-368, 2002. [doi]

Adjacency selection in Markov Random Fields for high spatial resolution hyperspectral dataFrancesco Lagona. jgs, 4(1):53-68, 2002. [doi]

Markov-Type Inequalities for Products of Müntz PolynomialsTamás Erdélyi. jat, 112(2):171-188, 2001. [doi]

Iterative Aggregation/Disaggregation Methods for Computing Some Characteristics of Markov ChainsIvo Marek, Petr Mayer. lssc 2001: 68-80 [doi]

An Overview on the Distribution of Word Counts in Markov ChainsSophie Schbath. jcb, 7(1-2):193-201, 2000.

Sampling Adsorbing Staircase Walks Using a New Markov Chain Decomposition MethodRussell A. Martin, Dana Randall. focs 2000: 492-502

Unsupervised image segmentation using Markov random field modelsPR, 33(4):587-602, 2000. [doi]

Searching gene transfers on ::::Bacillus subtilis:::: using hidden Markov modelsLaurent Bize, Florence Muri, Franck Samson, François Rodolphe, S. Dusko Ehrlich, Bernard Prun, Philippe Bessières. recomb 1999: 43-49 [doi]

A further result on the Markov chain model of genetic algorithms and its application to a simulated annealing-like strategyJ. Suzuki. tsmc, 28(1):95-102, 1998.

Finding Genes in DNA with a Hidden Markov ModelJohn Henderson, Steven Salzberg, Kenneth H. Fasman. jcb, 4(2):127-142, 1997.

Markov Processes Involving q-Stirling NumbersDavide Crippa, Klaus Simon, Paul Trunz. cpc, 6(2):165-178, 1997.

Isomorphic Embeddings of Abstract Interval SystemsSvetoslav M. Markov. rc, 3(3):199-207, 1997. [doi]

Application of hidden Markov models for signature verificationL. Yang, B. K. Widjaja, R. Prasad. PR, 28(2):161-170, 1995. [doi]

Isoperimetric Inequalities and Decay of Iterated Kernels for almost-transitive Markov ChainsLaurent Saloff-Coste. cpc, 4:419-442, 1995.

A Characterization of Independence for Competing Markov Chains with Applications to Stochastic Petri NetsRichard J. Boucherie. TSE, 20(7):536-544, 1994. [doi]

Markov Chains and Polynomial Time AlgorithmsRavi Kannan. focs 1994: 656-671

The uniformized power method for transient solutions of Markov processesHaïscam Abdallah, Raymond A. Marie. cor, 20(5):515-526, 1993. [doi]

Learning Probabilistic Automata and Markov Chains via QueriesWen-Guey Tzeng. ml, 8:151-166, 1992.

Exact computation of pattern probabilities in random sequences generated by Markov chainsJürgen Kleffe, Uwe Langbecker. bioinformatics, 6(4):347-35, 1990.

Markov s Principle, Isols and Dedekind Finite SetsCharles McCarty. JSYML, 53(4):1042-1069, 1988.

The Working Set Size Distribution for the Markov Chain Model of Program BehaviorMicha Hofri, Percy Tzelnic. SICOMP, 11(3):453-466, 1982.

On the Working Set Size for the Markov Chain Model of Program BehaviourMicha Hofri, Percy Tzelnic. performance 1979: 393-405

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