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SSPR
2010
Springer
15 years 2 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
85
Voted
BIOINFORMATICS
2008
95views more  BIOINFORMATICS 2008»
15 years 4 months ago
Incorporating sequence information into the scoring function: a hidden Markov model for improved peptide identification
Jainab Khatun, Eric Hamlett, Morgan C. Giddings
129
Voted
ICASSP
2010
IEEE
15 years 4 months ago
Framework for cross-language automatic phonetic segmentation
Annotation of large multilingual corpora remains a challenge to the data-driven approach to speech research, especially for under-resourced languages. This paper presents crosslan...
Udochukwu Kalu Ogbureke, Julie Carson-Berndsen
RIAO
2000
15 years 5 months ago
Learning for Sequence Extraction Tasks
We consider the application of machine learning techniques for sequence modeling to Information Retrieval (IR) and surface Information Extraction (IE) tasks. We introduce a generi...
Massih-Reza Amini, Hugo Zaragoza, Patrick Gallinar...