Predicting Structured Data (Neural Information Processing)

Solving multiclass support vector machines with LaRank

Proceedings of the 24th international conference on Machine learning

A scalable modular convex solver for regularized risk minimization

Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining

Modeling interleaved hidden processes

Proceedings of the 25th international conference on Machine learning

Learning subspace kernels for classification

Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining

Structured machine learning: the next ten years

Machine Learning

Semantic lattices for multiple annotation of images

MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval

Learning to Localize Objects with Structured Output Regression

ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I

Language ID in the context of harvesting language data off the web

EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics

Joint unsupervised coreference resolution with Markov logic

EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing

A general method for reducing the complexity of relational inference and its application to MCMC

AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2

Hybrid Markov logic networks

AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2

Learning to connect language and perception

AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3

Guest editorial: special issue on structured prediction

Machine Learning

Structured prediction by joint kernel support estimation

Machine Learning

Training parsers by inverse reinforcement learning

Machine Learning

Unsupervised semantic parsing

EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1

Bundle Methods for Regularized Risk Minimization

The Journal of Machine Learning Research

Joint inference for knowledge extraction from biomedical literature

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

Unsupervised ontology induction from text

ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics

Machine reading at the University of Washington

FAM-LbR '10 Proceedings of the NAACL HLT 2010 First International Workshop on Formalisms and Methodology for Learning by Reading

N-best reranking by multitask learning

WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR

Predicting partial orders: ranking with abstention

ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I

Entropy and margin maximization for structured output learning

ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III

Multi-dimensional classification with Bayesian networks

International Journal of Approximate Reasoning

Learning statistical models from relational data

Proceedings of the 2011 ACM SIGMOD International Conference on Management of data

Predicting structured outputs k-nearest neighbours method

DS'11 Proceedings of the 14th international conference on Discovery science

Accelerated training of max-margin Markov networks with kernels

ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory

Structured Output SVM for Remote Sensing Image Classification

Journal of Signal Processing Systems

Predicting Metal-Binding Sites from Protein Sequence

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers

Neurocomputing

Guest Editorial: Special Issue on Structured Prediction and Inference

International Journal of Computer Vision

Low-dimensional discriminative reranking

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

Fuzzy machine learning and data mininga

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

Language classification and segmentation of noisy documents in Hebrew scripts

LaTeCH '12 Proceedings of the 6th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities

Tree ensembles for predicting structured outputs

Pattern Recognition

Learning to predict from textual data

Journal of Artificial Intelligence Research

A literature survey on robust and efficient eye localization in real-life scenarios

Pattern Recognition

Accelerated training of max-margin Markov networks with kernels

Theoretical Computer Science

From machine learning to machine reasoning

Machine Learning