Instance-Based Learning Algorithms
Machine Learning
The nature of statistical learning theory
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An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Machine Learning
Maximum entropy models for natural language ambiguity resolution
Maximum entropy models for natural language ambiguity resolution
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
A maximum entropy model for prepositional phrase attachment
HLT '94 Proceedings of the workshop on Human Language Technology
Introduction to the CoNLL-2002 shared task: language-independent named entity recognition
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
PP-attachment disambiguation using large context
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Competitive generative models with structure learning for NLP classification tasks
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Appropriate kernel functions for support vector machine learning with sequences of symbolic data
Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning
PP-attachment disambiguation boosted by a gigantic volume of unambiguous examples
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
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Speculative execution of information gathering plans can dramatically reduce the effect of source I/O latencies on overall performance. However, the utility of speculation is closely tied to how accurately data values are predicted at runtime. Caching ...