2914 search results - page 312 / 583 » Learning and Inference with Constraints |
163
Voted
ICANN
2001
Springer
15 years 11 months ago
2001
Springer
This paper studies the use of discrete-time recurrent neural networks for predicting the next symbol in a sequence. The focus is on online prediction, a task much harder than the c...
185
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SBIA
2000
Springer
15 years 10 months ago
2000
Springer
In recent years, the Natural Language Processing scene has witnessed the steady growth of interest in connectionist modeling. The main appeal of such an approach is that one does n...
200
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KDD
1995
ACM
15 years 10 months ago
1995
ACM
Wedescribe a case study in data miningfor personal loan evaluation, performed at the ABNAMRObank in the Netherlands. Historical data of clients and their pay-backbehaviourare used...
179
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AAAI
2007
15 years 9 months ago
2007
We present a novel approach to recognizing Textual nt. Structural features are constructed from abstract tree descriptions, which are automatically extracted from syntactic depend...
190
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AAAI
2008
15 years 9 months ago
2008
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...