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» Probabilistic Neural Network Models for Sequential Data
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TPDS
2010
199views more  TPDS 2010»
13 years 6 months ago
Flexible Cache Consistency Maintenance over Wireless Ad Hoc Networks
—One of the major applications of wireless ad hoc networks is to extend the Internet coverage and support pervasive and efficient data dissemination and sharing. To reduce data a...
Yu Huang 0002, Jiannong Cao, Beihong Jin, XianPing...
IJCNN
2007
IEEE
14 years 2 months ago
Neurolinguistic Approach to Vector Representation of Medical Concepts
Abstract—Putative brain processes responsible for understanding language are based on spreading activation in semantic networks, providing enhanced representations that involve c...
Wlodzislaw Duch, Pawel Matykiewicz, John Pestian

Book
778views
15 years 6 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
RTSS
2008
IEEE
14 years 2 months ago
Fast Sensor Placement Algorithms for Fusion-Based Target Detection
Mission-critical target detection imposes stringent performance requirements for wireless sensor networks, such as high detection probabilities and low false alarm rates. Data fus...
Zhaohui Yuan, Rui Tan, Guoliang Xing, Chenyang Lu,...
HUC
2010
Springer
13 years 8 months ago
Bayesian recognition of motion related activities with inertial sensors
This work presents the design and evaluation of an activity recognition system for seven important motion related activities. The only sensor used is an Inertial Measurement Unit ...
Korbinian Frank, Maria Josefa Vera Nadales, Patric...