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EMNLP
2008
15 years 7 months ago
N-gram Weighting: Reducing Training Data Mismatch in Cross-Domain Language Model Estimation
In domains with insufficient matched training data, language models are often constructed by interpolating component models trained from partially matched corpora. Since the ngram...
Bo-June Paul Hsu, James R. Glass
NIPS
1998
15 years 7 months ago
Learning a Continuous Hidden Variable Model for Binary Data
A directed generative model for binary data using a small number of hidden continuous units is investigated. A clipping nonlinearity distinguishes the model from conventional prin...
Daniel D. Lee, Haim Sompolinsky
DIS
2007
Springer
16 years 13 days ago
Discovering Communicable Models from Earth Science Data
Abstract. This chapter describes how we used regression rules to improve upon results previously published in the Earth science literature. In such a scientific application of mac...
Mark Schwabacher, Pat Langley, Christopher Potter,...
ICSE
2003
IEEE-ACM
15 years 11 months ago
Data Flow Testing as Model Checking
This paper presents a model checking-based approach to data flow testing. We characterize data flow oriented coverage criteria in temporal logic such that the problem of test ge...
Hyoung Seok Hong, Sung Deok Cha, Insup Lee, Oleg S...
EMMCVPR
1999
Springer
15 years 10 months ago
Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm
This paper considers the use of the EM-algorithm, combined with mean field theory, for parameter estimation in Markov random field models from unlabelled data. Special attention ...
Markus Svensén, Frithjof Kruggel, D. Yves v...