2901 search results - page 7 / 581 » Predicting non-stationary processes |
108
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EMNLP
2011
13 years 9 months ago
2011
Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...
TIT
1998
14 years 9 months ago
1998
Abstract— We consider the problem of one-step-ahead prediction of a real-valued, stationary, strongly mixing random process fXig
139
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CAISE
2011
Springer
14 years 1 months ago
2011
Springer
Abstract. Flexibility and automatic learning are key aspects to support users in dynamic business environments such as value chains across SMEs or when organizing a large event. Pr...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We propose a novel dependent hierarchical Pitman-Yor process model for discrete data. An incremental Monte Carlo inference procedure for this model is developed. We show that infe...
130
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EMNLP
2011
13 years 9 months ago
2011
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...