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AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
Bayraktar, E., Dayanik, S. & Karatzas, I. Adaptive Poisson disorder problem 2006 CoRR   article URL  
BibTeX:
@article{journals/corr/abs-math-0610184,
  author = {Erhan Bayraktar and Savas Dayanik and Ioannis Karatzas},
  title = {Adaptive Poisson disorder problem},
  journal = {CoRR},
  year = {2006},
  volume = {abs/math/0610184},
  note = {informal publication},
  url = {http://dblp.uni-trier.de/db/journals/corr/corr0610.html#abs-math-0610184}
}
Bayraktar, E., Dayanik, S. & Karatzas, I. The standard Poisson disorder problem revisited 2005 Stochastic Processes and their Applications   article URL  
BibTeX:
@article{Bayraktar2005,
  author = {Erhan Bayraktar and Savas Dayanik and Ioannis Karatzas},
  title = {The standard Poisson disorder problem revisited},
  journal = {Stochastic Processes and their Applications},
  year = {2005},
  volume = {115},
  number = {9},
  pages = {1437--1450},
  url = {http://www.sciencedirect.com/science/article/B6V1B-4G98WYN-3/1/5730f13e413a694f2788a5b7e9c78d07}
}
Dayanik, A. A., Lewis, D. D., Madigan, D., Menkov, V. & Genkin, A. Constructing informative prior distributions from domain knowledge in text classification. 2006 SIGIR   inproceedings URL  
Abstract: Supervised learning approaches to text classification are in practice often required to work with small and unsystematically collected training sets. The alternative to supervised learning is usually viewed to be building classifiers by hand, using a domain expert's understanding of which features of the text are related to the class of interest. This is expensive, requires a degree of sophistication about linguistics and classification, and makes it difficult to use combinations of weak predictors. We propose instead combining domain knowledge with training examples in a Bayesian framework. Domain knowledge is used to specify a prior distribution for the parameters of a logistic regression model, and labeled training data is used to produce a posterior distribution, whose mode we take as the final classifier. We show on three text categorization data sets that this approach can rescue what would otherwise be disastrously bad training situations, producing much more effective classifiers.
BibTeX:
@inproceedings{conf/sigir/DayanikLMMG06,
  author = {Aynur A. Dayanik and David D. Lewis and David Madigan and Vladimir Menkov and Alexander Genkin},
  title = {Constructing informative prior distributions from domain knowledge in text classification.},
  booktitle = {SIGIR},
  publisher = {ACM},
  year = {2006},
  pages = {493-500},
  url = {http://dblp.uni-trier.de/db/conf/sigir/sigir2006.html#DayanikLMMG06}
}
Dayanik, S., Goulding, C. & Poor, H. V. Joint Detection and Identification of an Unobservable Change in the Distribution of a Random Sequence. 2007 CISS   inproceedings URL  
BibTeX:
@inproceedings{conf/ciss/DayanikGP07,
  author = {Savas Dayanik and Christian Goulding and H. Vincent Poor},
  title = {Joint Detection and Identification of an Unobservable Change in the Distribution of a Random Sequence.},
  booktitle = {CISS},
  publisher = {IEEE},
  year = {2007},
  pages = {68-73},
  url = {http://dblp.uni-trier.de/db/conf/ciss/ciss2007.html#DayanikGP07}
}
Dayanik, S., Goulding, C. & Poor, H. V. Joint Detection and Identification of an Unobservable Change in the Distribution of a Random Sequence 2007 CoRR   article URL  
BibTeX:
@article{journals/corr/abs-0705-0043,
  author = {Savas Dayanik and Christian Goulding and H. Vincent Poor},
  title = {Joint Detection and Identification of an Unobservable Change in the Distribution of a Random Sequence},
  journal = {CoRR},
  year = {2007},
  volume = {abs/0705.0043},
  note = {informal publication},
  url = {http://dblp.uni-trier.de/db/journals/corr/corr0705.html#abs-0705-0043}
}
Dayanik, S., Goulding, C. & Poor, H. V. Bayesian sequential change diagnosis 2007 CoRR   article URL  
BibTeX:
@article{journals/corr/abs-0710-4847,
  author = {Savas Dayanik and Christian Goulding and H. Vincent Poor},
  title = {Bayesian sequential change diagnosis},
  journal = {CoRR},
  year = {2007},
  volume = {abs/0710.4847},
  note = {informal publication},
  url = {http://dblp.uni-trier.de/db/journals/corr/corr0710.html#abs-0710-4847}
}
Dayanik, S. & Karatzas, I. On the optimal stopping problem for one-dimensional diffusions 2003 Stochastic Processes and their Applications   article URL  
BibTeX:
@article{Dayanik2003,
  author = {Savas Dayanik and Ioannis Karatzas},
  title = {On the optimal stopping problem for one-dimensional diffusions},
  journal = {Stochastic Processes and their Applications},
  year = {2003},
  volume = {107},
  number = {2},
  pages = {173--212},
  url = {http://www.sciencedirect.com/science/article/B6V1B-48V7PKB-1/1/3d6631cffa8a7469e234344f82b3b8fd}
}
Dayanik, S., Poor, H. V. & Sezer, S. O. Multisource Bayesian sequential change detection 2007 CoRR   article URL  
BibTeX:
@article{journals/corr/abs-0708-0224,
  author = {Savas Dayanik and Harold Vincent Poor and Semih Onur Sezer},
  title = {Multisource Bayesian sequential change detection},
  journal = {CoRR},
  year = {2007},
  volume = {abs/0708.0224},
  note = {informal publication},
  url = {http://dblp.uni-trier.de/db/journals/corr/corr0708.html#abs-0708-0224}
}
Dayanik, S. & Sezer, S. O. Sequential testing of simple hypotheses about compound Poisson processes 2006 Stochastic Processes and their Applications   article URL  
BibTeX:
@article{Dayanik2006,
  author = {Savas Dayanik and Semih O. Sezer},
  title = {Sequential testing of simple hypotheses about compound Poisson processes},
  journal = {Stochastic Processes and their Applications},
  year = {2006},
  volume = {116},
  number = {12},
  pages = {1892--1919},
  url = {http://www.sciencedirect.com/science/article/B6V1B-4K4WFH9-2/1/ffd45f28a31c65aed0054ce3e6c6a9bb}
}
Macskassy, S. A., Hirsh, H., Banerjee, A. & Dayanik, A. A. Using Text Classifiers for Numerical Classification. 2001 IJCAI   inproceedings URL  
BibTeX:
@inproceedings{conf/ijcai/MacskassyHBD01,
  author = {Sofus A. Macskassy and Haym Hirsh and Arunava Banerjee and Aynur A. Dayanik},
  title = {Using Text Classifiers for Numerical Classification.},
  booktitle = {IJCAI},
  publisher = {Morgan Kaufmann},
  year = {2001},
  pages = {885-890},
  url = {http://www.cise.ufl.edu/~arunava/papers/ijcai01.pdf}
}

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