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1hmms.dvi
ftp://ftp.icsi.berkeley.edu/pub/ai/jagota/vol2_5.pdf
8 years ago by @becker
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1Factorial hidden Markov models
Z. Ghahramani, M. Jordan, and P. Smyth. Machine learning, 29 (2-3): 245--273 (1997)
8 years ago by @becker
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inthesis
citedby:scholar:timestamp:2017-3-30
factorial
hmm
hidden
mixedtrails
citedby:scholar:count:1273
diss
model
markov
inthesiscitedby:scholar:timestamp:2017-3-30factorialhmmhiddenmixedtrailscitedby:scholar:count:1273dissmodelmarkov
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2Markov chain monte carlo
W. Gilks. Encyclopedia of Biostatistics, (2005)
8 years ago by @becker
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chain
inthesis
carlo
monte
diss
citedby:scholar:count:213
citedby:scholar:timestamp:2017-4-5
markov
chaininthesiscarlomontedisscitedby:scholar:count:213citedby:scholar:timestamp:2017-4-5markov
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5Finite Markov chain analysis of genetic algorithms
D. Goldberg, and P. Segrest. International Conference on Genetic Algorithms, page 1--8. (1987)
8 years ago by @becker
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genetic
chain
inthesis
citedby:scholar:count:390
diss
algorithm
citedby:scholar:timestamp:2017-4-5
markov
geneticchaininthesiscitedby:scholar:count:390dissalgorithmcitedby:scholar:timestamp:2017-4-5markov
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3On Mixtures of Markov Chains
R. Gupta, R. Kumar, and S. Vassilvitskii. Advances in Neural Information Processing Systems, Curran Associates, Inc., (2016)
8 years ago by @becker
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cluster
chain
inthesis
clustering
chains
mixedtrails
mixture
diss
markov
behavior
transitions
clusterchaininthesisclusteringchainsmixedtrailsmixturedissmarkovbehaviortransitions
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4Analysis of time series subject to changes in regime
J. Hamilton. Journal of Econometrics, 45 (1-2): 39--70 (1990)
8 years ago by @becker
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ar
auto
inthesis
citedby:scholar:timestamp:2017-3-30
citedby:scholar:count:1815
hmm
hidden
regressive
mixedtrails
diss
model
markov
arautointhesiscitedby:scholar:timestamp:2017-3-30citedby:scholar:count:1815hmmhiddenregressivemixedtrailsdissmodelmarkov
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1Markov chain Monte Carlo methods for computing Bayes factors: A comparative review
C. Han, and B. Carlin. Journal of the American Statistical Association, 96 (455): 1122--1132 (2001)
8 years ago by @becker
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citedby:scholar:timestamp:2017-4-12
approximation
chain
citedby:scholar:count:341
monte
diss
inthesis
bayes
carlo
mcmc
review
survey
factor
markov
citedby:scholar:timestamp:2017-4-12approximationchaincitedby:scholar:count:341montedissinthesisbayescarlomcmcreviewsurveyfactormarkov
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1Markov random field segmentation of brain MR images
K. Held, E. Kops, B. Krause, W. Wells, R. Kikinis, and H. Muller-Gartner. Transactions on Medical Imaging, 16 (6): 878--886 (1997)
8 years ago by @becker
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random
chain
inthesis
field
diss
citedby:scholar:timestamp:2017-4-7
network
citedby:scholar:count:530
markov
randomchaininthesisfielddisscitedby:scholar:timestamp:2017-4-7networkcitedby:scholar:count:530markov
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2Filling the gaps: On the completion of sparse call detail records for mobility analysis
S. Hoteit, G. Chen, A. Viana, and M. Fiore. ACM Chants, (2016)
8 years ago by @becker
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geo
call
mobility
disease
inthesis
record
detail
diss
spatial
human
spread
markov
geocallmobilitydiseaseinthesisrecorddetaildissspatialhumanspreadmarkov
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1Predicting human mobility with activity changes
W. Huang, S. Li, X. Liu, and Y. Ban. International Journal of Geographical Information Science, 29 (9): 1569--1587 (2015)
8 years ago by @becker
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geo
chain
mobility
inthesis
activity
prediction
citedby:scholar:count:8
diss
spatial
human
citedby:scholar:timestamp:2017-3-18
markov
geochainmobilityinthesisactivitypredictioncitedby:scholar:count:8dissspatialhumancitedby:scholar:timestamp:2017-3-18markov
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1The calibration of trip distribution models
G. Hyman. Environment and Planning A, 1 (1): 105--112 (1969)
8 years ago by @becker
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origin
destination
diss
distribution
likelihood
matrix
estimation
geo
trip
inthesis
bayes
spatial
markov
origindestinationdissdistributionlikelihoodmatrixestimationgeotripinthesisbayesspatialmarkov
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1A Markov model for the term structure of credit risk spreads
R. Jarrow, D. Lando, and S. Turnbull. Review of Financial Studies, 10 (2): 481--523 (1997)
8 years ago by @becker
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chain
inthesis
citedby:scholar:count:1928
diss
credit
finance
citedby:scholar:timestamp:2017-4-5
markov
chaininthesiscitedby:scholar:count:1928disscreditfinancecitedby:scholar:timestamp:2017-4-5markov
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3Evaluating the Markov Assumption for Web Usage Mining
S. Jespersen, T. Pedersen, and J. Thorhauge. Proceedings of the 5th ACM International Workshop on Web Information and Data Management, page 82--89. New York, NY, USA, ACM, (2003)
8 years ago by @becker
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web
chain
inthesis
navigation
diss
model
order
markov
behavior
webchaininthesisnavigationdissmodelordermarkovbehavior
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2Mining trajectory patterns using hidden markov models
H. Jeung, H. Shen, and X. Zhou. page 470--480. Springer Berlin Heidelberg, Berlin, Heidelberg, (2007)
8 years ago by @becker
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geo
inthesis
mining
hidden
pattern
diss
model
spatial
trajectory
markov
geointhesismininghiddenpatterndissmodelspatialtrajectorymarkov
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2Hidden Markov models for detecting remote protein homologies.
K. Karplus, C. Barrett, and R. Hughey. Bioinformatics, 14 (10): 846--856 (1998)
8 years ago by @becker
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biology
chain
inthesis
bioinformatics
bio
informatics
diss
citedby:scholar:count:1235
citedby:scholar:timestamp:2017-4-5
markov
biologychaininthesisbioinformaticsbioinformaticsdisscitedby:scholar:count:1235citedby:scholar:timestamp:2017-4-5markov
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2On some criteria for estimating the order of a Markov chain
R. Katz. Technometrics, 23 (3): 243--249 (1981)
8 years ago by @becker
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citedby:scholar:timestamp:2017-4-15
citedby:scholar:count:226
chain
inthesis
bic
aic
diss
order
markov
citedby:scholar:timestamp:2017-4-15citedby:scholar:count:226chaininthesisbicaicdissordermarkov
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1Some problems of stochastic processes in genetics
M. Kimura. The Annals of Mathematical Statistics, (1957)
8 years ago by @becker
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genetics
chain
inthesis
citedby:scholar:count:373
diss
citedby:scholar:timestamp:2017-4-5
markov
geneticschaininthesiscitedby:scholar:count:373disscitedby:scholar:timestamp:2017-4-5markov
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1Markov random fields and their applications
R. Kindermann, and L. Snell. American Mathematical Society, (1980)
8 years ago by @becker
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random
chain
inthesis
field
citedby:scholar:count:1481
diss
citedby:scholar:timestamp:2017-4-7
network
fields
networks
markov
randomchaininthesisfieldcitedby:scholar:count:1481disscitedby:scholar:timestamp:2017-4-7networkfieldsnetworksmarkov
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2Linear Additive Markov Processes
R. Kumar, M. Raghu, T. Sarlós, and A. Tomkins. International Conference on World Wide Web, page 411--419. International World Wide Web Conferences Steering Committee, (2017)
8 years ago by @becker
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extension
inthesis
length
diss
model
order
higher
markov
variable
extensioninthesislengthdissmodelorderhighermarkovvariable
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1FOG: Fragment Optimized Growth algorithm for the de novo generation of molecules occupying druglike chemical space
P. Kutchukian, D. Lou, and E. Shakhnovich. Journal of Chemical Information and Modeling, 49 (7): 1630--1642 (2009)
8 years ago by @becker
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chain
inthesis
chemistry
molecule
citedby:scholar:count:48
diss
growth
citedby:scholar:timestamp:2017-4-5
markov
chaininthesischemistrymoleculecitedby:scholar:count:48dissgrowthcitedby:scholar:timestamp:2017-4-5markov
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11Mining Subgroups with Exceptional Transition Behavior
F. Lemmerich, M. Becker, P. Singer, D. Helic, A. Hotho, and M. Strohmaier. Proceedings of the 22Nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 965--974. New York, NY, USA, ACM, (2016)
7 years ago by @becker
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myown
chain
exceptional
discovery
kdd
p21
transition
hyptrails
project:2023-tracking
cv
mining
diss:allmypubs
markov
subgroup
emm
diss
subgroups
inthesis
navigation
bayes
model
human
factor
behavior
selected
myownchainexceptionaldiscoverykddp21transitionhyptrailsproject:2023-trackingcvminingdiss:allmypubsmarkovsubgroupemmdisssubgroupsinthesisnavigationbayesmodelhumanfactorbehaviorselected
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1hmms.dvi

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1Factorial hidden Markov models

2Markov chain monte carlo

5Finite Markov chain analysis of genetic algorithms

3On Mixtures of Markov Chains

4Analysis of time series subject to changes in regime

1Markov chain Monte Carlo methods for computing Bayes factors: A comparative review

1Markov random field segmentation of brain MR images

2Filling the gaps: On the completion of sparse call detail records for mobility analysis

1Predicting human mobility with activity changes

1The calibration of trip distribution models

1A Markov model for the term structure of credit risk spreads

3Evaluating the Markov Assumption for Web Usage Mining

2Mining trajectory patterns using hidden markov models

2Hidden Markov models for detecting remote protein homologies.

2On some criteria for estimating the order of a Markov chain

1Some problems of stochastic processes in genetics

1Markov random fields and their applications

2Linear Additive Markov Processes

1FOG: Fragment Optimized Growth algorithm for the de novo generation of molecules occupying druglike chemical space

11Mining Subgroups with Exceptional Transition Behavior

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