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» Language model adaptation using Random Forests
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ICIP
1998
IEEE
14 years 9 months ago
Adaptive Restoration of Speckled SAR Images using a Compound Random Markov Field
This paper proposes a restoration scheme for noisy images generated by coherent imaging systems (e.g., synthetic aperture radar, synthetic aperture sonar, ultrasound imaging, and ...
José M. B. Dias, José M. N. Leit&ati...
ICASSP
2011
IEEE
12 years 11 months ago
Identification of ARMA models using intermittent and quantized output observations
This paper studies system identification of ARMA models whose outputs are subject to finite-level quantization and random packet dropouts. A simple adaptive quantizer and the co...
Damián Marelli, Keyou You, Minyue Fu
ECOOP
2004
Springer
14 years 27 days ago
Using Aspects to Make Adaptive Object-Models Adaptable
The unrelenting pace of change that confronts contemporary software developers compels them to make their applications more configurable, flexible, and adaptive. In order to ach...
Ayla Dantas, Joseph W. Yoder, Paulo Borba, Ralph E...
ACL
2007
13 years 9 months ago
A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing
This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics com...
Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina...
JMLR
2012
11 years 10 months ago
Random Search for Hyper-Parameter Optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
James Bergstra, Yoshua Bengio