- BCTM04
-
P. L. Bartlett, M. Collins, B. Taskar, and D. McAllester.
Exponentiated gradient algorithms for large-margin structured
classification.
In NIPs, 2004.
http://www.stat.berkeley.edu/~bartlett/papers/bcmt-lmmsc-04.ps.gz.
- Ber
-
A. Berger.
A brief maxent tutorial.
http://www.cs.cmu.edu/afs/cs/user/aberger/www/html/tutorial/tutorial.
- BM04
-
R. Bunescu and R. Mooney.
Collective information extraction with relational markov networks.
In ACL, 2004.
http://www.cs.stanford.edu/~btaskar/papers/bcmt-lmmsc-04.ps.gz.
- Cli90
-
P. Clifford.
Markov random fields in statistics.
In G.R. Grimmett and D.J.A. Welsh (Eds) Disorder in Physical
Systems, J.M. Hammersley Festschrift, pages 19-32. Oxford University Press,
1990.
http://www.statslab.cam.ac.uk/~grg/books/hammfest/3-pdc.ps.
- Col02
-
M. Collins.
Discriminative training methods for hidden markov models: Theory and
experiments with perceptron algorithms.
In EMNLP, 2002.
http://citeseer.ist.psu.edu/collins02discriminative.html.
- CSO05
-
T. Cohn, A. Smith, and M. Osborne.
Scaling conditional random fields using error correcting codes.
In ACL, 2005.
http://www.cs.mu.oz.au/~tacohn/acl05_scaling.pdf.
- DAB04
-
T. Dietterich, A. Ashenfelter, and Y. Bulatov.
Training conditional random fields via gradient tree boosting.
In ICML, 2004.
http://citeseer.ist.psu.edu/dietterich04training.html.
- Fri01
-
J. H. Friedman.
Greedy function approximation: A gradient boosting machine.
In Annals of Statistics, volume 29, 2001.
http://www-stat.stanford.edu/~jhf/ftp/trebst.ps.
- KT99
-
J. Kleinberg and E. Tardos.
Approximation algorithms for classification problems with pairwise
relationships: Metric labeling and markov random fields.
In FOCS, 1999.
http://www.cs.cornell.edu/home/kleinber/focs99-mrf.ps.
- KTR02
-
S. Kakade, Y. Teh, and S. Roweis.
An alternate objective function for markovian fields.
In ICML, pages 275-282, 2002.
http://www.cs.berkeley.edu/~ywteh/research/newcost/icml2002.pdf.
- LMP01
-
J. Lafferty, A. McCallum, and F. Pereira.
Conditional random fields: Probabilistic models for segmenting and
labeling sequence data.
In ICML, pages 282-289, 2001.
http://citeseer.ist.psu.edu/lafferty01conditional.html.
- McC03
-
A. McCallum.
Efficiently inducing features of conditional random fields.
In UAI, 2003.
http://citeseer.ist.psu.edu/mccallum03efficiently.html.
- Min01
-
T. Minka.
Expectation propagation for approximate bayesian inference.
In UAI, 2001.
http://research.microsoft.com/~minka/papers/ep/minka-ep-uai.pdf.
- NB04
-
M. Narasimhan and J. Bilmes.
Optimal sub-graphical models.
In NIPS, 2004.
http://ssli.ee.washington.edu/~mukundn/pubs/nips2004.pdf.
- Pea88
-
J. Pearl.
Probabilistic reasoning in intelligent systems.
Morgan Kaufmann, San Francisco, 1988.
- QSM05
-
Y. Qi, M. Szummer, and T. P. Minka.
Bayesian conditional random fields.
In AISTATS, 2005.
http://people.csail.mit.edu/alanqi/papers/Qi-Bayesian-CRF-AIstat05.pdf.
- RY05
-
D. Roth and W. Yih.
Integer linear programming inference for conditional random fields.
In ICML, pages 737-744, 2005.
http://l2r.cs.uiuc.edu/~danr/Papers/RothYi05.pdf.
- SCO05
-
A. Smith, T. Cohn, and M. Osborne.
Logarithmic opinion pools for conditional random fields.
In ACL, 2005.
http://www.iccs.informatics.ed.ac.uk/~osborne/papers/acl05a.pdf.
- SM05
-
C. Sutton and A. McCallum.
Piecewise training for undirected models.
In UAI, 2005.
http://www.cs.umass.edu/~mccallum/papers/piecewise-uai05.pdf.
- SP03
-
F. Sha and F. Pereira.
Shallow parsing with conditional random fields.
In NAACL, 2003.
http://www.cis.upenn.edu/~feisha/pubs/shallow03.pdf.
- TAK02
-
B. Taskar, P. Abbeel, and D. Koller.
Discriminative probabilistic models for relational data.
In UAI, 2002.
http://www.cs.berkeley.edu/~taskar/pubs/rmn.ps.
- Tas04
-
B. Taskar.
Learning Structured Prediction Models: A Large Margin Approach.
PhD thesis, Stanford University, 2004.
http://www.cs.berkeley.edu/~taskar/pubs/thesis.pdf.
- TCK04
-
B. Taskar, V. Chatalbashev, and D. Koller.
Learning associative markov networks.
In ICML, 2004.
http://www.cs.berkeley.edu/~taskar/pubs/mmamn.ps.
- Wal02
-
H. Wallach.
Efficient training of conditional random fields.
Master's thesis, University of Edinburgh, 2002.
http://citeseer.ist.psu.edu/wallach02efficient.html.
2005-12-04