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EMNLP
2010
13 years 6 months ago
Training Continuous Space Language Models: Some Practical Issues
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
WEBI
2005
Springer
14 years 1 months ago
HITS is Principal Components Analysis
In this work, we show that Kleinberg’s hubs and authorities model (HITS) is simply Principal Components Analysis (PCA; maybe the most widely used multivariate statistical analys...
Marco Saerens, François Fouss
ISOLA
2010
Springer
13 years 6 months ago
LivingKnowledge: Kernel Methods for Relational Learning and Semantic Modeling
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Alessandro Moschitti
ICASSP
2008
IEEE
14 years 2 months ago
Non-robustness of statistics-based beamformer design in correlated MIMO channels
Recent attention on correlated multi-input multi-output systems has centered around the case of imperfect channel or statistical information at the transmitter. The focus of this ...
Vasanthan Raghavan, Ada S. Y. Poon, Venugopal V. V...
AAAI
1997
13 years 9 months ago
Statistical Parsing with a Context-Free Grammar and Word Statistics
We describe a parsing system based upon a language model for English that is, in turn, based upon assigning probabilities to possible parses for a sentence. This model is used in ...
Eugene Charniak