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» Combining Estimators Using Non-Constant Weighting Functions
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EMNLP
2008
14 years 11 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
MA
2010
Springer
135views Communications» more  MA 2010»
14 years 8 months ago
Nonparametric comparison of regression functions
In this work we provide a new methodology for comparing regression functions m1 and m2 from two samples. Since apart from smoothness no other (parametric) assumptions are required...
Ramidha Srihera, Winfried Stute
106
Voted
SODA
2012
ACM
223views Algorithms» more  SODA 2012»
12 years 12 months ago
Data reduction for weighted and outlier-resistant clustering
Statistical data frequently includes outliers; these can distort the results of estimation procedures and optimization problems. For this reason, loss functions which deemphasize ...
Dan Feldman, Leonard J. Schulman
IJCNN
2007
IEEE
15 years 3 months ago
Probability Density Function Estimation Using Orthogonal Forward Regression
— Using the classical Parzen window estimate as the target function, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression tec...
Sheng Chen, Xia Hong, Chris J. Harris
IPMI
2009
Springer
15 years 10 months ago
Multimodal Functional Imaging Using fMRI-Informed Regional EEG/MEG Source Estimation
Abstract. We propose a novel method, fMRI-Informed Regional Estimation (FIRE), which utilizes information from fMRI in E/MEG source reconstruction. FIRE takes advantage of the spat...
Aapo Nummenmaa, Matti Hämäläinen, P...