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» Graph model selection using maximum likelihood
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ML
2008
ACM
222views Machine Learning» more  ML 2008»
13 years 7 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
TREC
2001
13 years 9 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
TCOM
2008
103views more  TCOM 2008»
13 years 7 months ago
On the design of uplink and downlink group-orthogonal multicarrier wireless systems
Abstract--Group-orthogonal multicarrier code-division multiple access (GO-MC-CDMA) has been proposed as an attractive mutiplexing technique for the uplink segment of wireless syste...
Felip Riera-Palou, Guillem Femenias, Jaume Ramis
WCE
2007
13 years 8 months ago
Bootstrap Confidence Interval for the Median Failure Time of Three-Parameter Weibull Distribution
— In many applications of failure time data analysis, it is important to perform inferences about the median of the distribution function in situations of failure time data model...
N. A. Ibrahim, A. Kudus
INFOCOM
2010
IEEE
13 years 6 months ago
VBS: Maximum Lifetime Sleep Scheduling for Wireless Sensor Networks Using Virtual Backbones
—Wireless sensor network (WSN) applications require redundant sensors to guarantee fault tolerance. However, the same degree of redundancy is not necessary for multi-hop communic...
Yaxiong Zhao, Jie Wu, Feng Li, Sanglu Lu