Name
Abstract | ||
|---|---|---|
Sequential data labeling is a fundamental task in machine learning applications, with speech and natural language processing, activity recognition in video sequences, and biomedical data analysis being characteristic such examples, to name just a few. The conditional random field (CRF), a log-linear model representing the conditional distribution of the observation labels, is one of the most successful approaches for sequential data labeling and classification, and has lately received significant attention in machine learning, as it achieves superb prediction performance in a variety of scenarios. Nevertheless, existing CRF formulations do not account for temporal dependencies between the observed variables - they only postulate Markovian interdependencies between the predicted label variables. To resolve these issues, in this paper we propose a non-linear hierarchical CRF formulation that combines the power of echo state networks to extract high level temporal features with the graphical framework of CRF models, yielding a powerful and scalable probabilistic model that we apply to signal labeling tasks. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.eswa.2012.02.193 | Expert Syst. Appl. |
Keywords | Field | DocType |
conditional random field,scalable probabilistic model,conditional distribution,log-linear model,crf formulation,sequential data modeling,machine learning,biomedical data analysis,echo state,conditional random field model,non-linear hierarchical crf formulation,crf model,sequential data,artificial intelligence,regression analysis,computational linguistics,computer science,conditional random fields | Conditional random field,Markov process,Conditional probability distribution,Activity recognition,Sequence labeling,Pattern recognition,Computer science,Computational linguistics,Artificial intelligence,Statistical model,Machine learning,Scalability | Journal |
Volume | Issue | ISSN |
39 | 11 | 0957-4174 |
Citations | PageRank | References |
1 | 0.35 | 21 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sotirios P. Chatzis | 1 | 250 | 24.25 |
| Yiannis Demiris | 2 | 938 | 86.45 |