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» An adaptive penalized maximum likelihood algorithm
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AAAI
1998
13 years 8 months ago
Bayesian Network Models for Generation of Crisis Management Training Scenarios
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
Eugene Grois, William H. Hsu, Mikhail Voloshin, Da...
ICRA
1999
IEEE
126views Robotics» more  ICRA 1999»
13 years 11 months ago
Online Self-Calibration for Mobile Robots
This paper proposes a statistical method for calibrating the odometry of mobile robots. In contrast to previous approaches, which require explicit measurements of actual motion wh...
Nicholas Roy, Sebastian Thrun
ICASSP
2011
IEEE
12 years 10 months ago
Itakura-Saito nonnegative matrix factorization with group sparsity
We propose an unsupervised inference procedure for audio source separation. Components in nonnegative matrix factorization (NMF) are grouped automatically in audio sources via a p...
Augustin Lefevre, Francis Bach, Cédric F&ea...
COLING
1992
13 years 8 months ago
Syntactic Ambiguity Resolution Using A Discrimination and Robustness Oriented Adaptive Learning Algorithm
In this paper, a discrimination and robusmess oriented adaptive learning procedure is proposed to deal with the task of syntactic ambiguity resolution. Owing to the problem of ins...
Tung-Hui Chiang, Yi-Chung Lin, Keh-Yih Su
TREC
2001
13 years 8 months ago
The Bias Problem and Language Models in Adaptive Filtering
We used the YFILTER filtering system for experiments on updating profiles and setting thresholds. We developed a new method of using language models for updating profiles that is ...
Yi Zhang 0001, James P. Callan