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» On Learning with Integral Operators
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BMCBI
2006
119views more  BMCBI 2006»
15 years 7 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
181
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IJAR
2007
96views more  IJAR 2007»
15 years 7 months ago
Complexity measurement of fundamental pseudo-independent models
Pseudo-independent (PI) models are a special class of probabilistic domain model (PDM) where a set of marginally independent domain variables shows collective dependency, a specia...
J. Lee, Y. Xiang
RTCSA
1998
IEEE
15 years 11 months ago
Partition Scheduling in APEX Runtime Environment for Embedded Avionics Software
Advances in the computer technology encouraged the avionics industry to replace the federated design of control units with an integrated suite of control modules that share the co...
Yann-Hang Lee, Daeyoung Kim, Mohamed F. Younis, Je...
CAMP
2005
IEEE
16 years 21 days ago
An Intelligent and Task-Independent Controller for Video Sequence Analysis
—This paper describes a task-independent controller that allows for an easy implementation of vision systems for processing video sequences. The controller does not have a fixed ...
José Bins, Thor List, Robert B. Fisher, Dav...
ICRA
2005
IEEE
110views Robotics» more  ICRA 2005»
16 years 20 days ago
Simultaneous Calibration of Action and Sensor Models on a Mobile Robot
Abstract— This paper presents a technique for the Simultaneous Calibration of Action and Sensor Models (SCASM) on a mobile robot. While previous approaches to calibration make us...
Daniel Stronger, Peter Stone