440 search results - page 36 / 88 » Artificial Neural Network for Sequence Learning |
150
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MICAI
2010
Springer
2010
Springer
Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels
15 years 2 months ago
This paper addresses the supervised learning in which the class membership of training data are subject to uncertainty. This problem is tackled in the framework of the Dempster-Sha...
120
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NN
2006
Springer
15 years 4 months ago
2006
Springer
Identification of the short DNA sequence motifs that serve as binding targets for transcription factors is an important challenge in bioinformatics. Unsupervised techniques from t...
172
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SOCO
2008
Springer
15 years 4 months ago
2008
Springer
Face recognition from an image or video sequences is emerging as an active research area with numerous commercial and law enforcement applications. In this paper different Pseudo 2...
135
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AIIA
2001
Springer
15 years 9 months ago
2001
Springer
This paper presents a novel method for wide coverage parsing using an incremental strategy, which is psycholinguistically motivated. A recursive neural network is trained on treeba...
165
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NIPS
2000
15 years 5 months ago
2000
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...