An Alternate Objective Function for Markovian Fields

Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs

ICML '04 Proceedings of the twenty-first international conference on Machine learning

Learning Diagram Parts with Hidden Random Fields

ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition

Investigating loss functions and optimization methods for discriminative learning of label sequences

EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing

Training conditional random fields with multivariate evaluation measures

ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics

Search-based structured prediction

Machine Learning

A Generalization of Forward-Backward Algorithm

ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I

Piecewise training for structured prediction

Machine Learning

Consensus training for consensus decoding in machine translation

EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3

Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data

The Journal of Machine Learning Research

Softmax-margin CRFs: training log-linear models with cost functions

HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics

Stacked hierarchical labeling

ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI

Labelwise margin maximization for sequence labeling

CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I

Discriminative semi-supervised learning of dynamical systems for motion estimation

Pattern Recognition

Efficiently inducing features of conditional random fields

UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence

Minimum-risk training of approximate CRF-based NLP systems

NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Aggregating semantic annotators

Proceedings of the VLDB Endowment

Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition

Pattern Recognition