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BMCBI
2006
119views more  BMCBI 2006»
13 years 10 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
ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
13 years 8 months ago
Anomaly Detection Using an Ensemble of Feature Models
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
Keith Noto, Carla E. Brodley, Donna K. Slonim
APIN
2004
116views more  APIN 2004»
13 years 9 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 10 months ago
Real-time ranking with concept drift using expert advice
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...
Hila Becker, Marta Arias
ICRA
2007
IEEE
149views Robotics» more  ICRA 2007»
14 years 4 months ago
Model-based Motion Estimation of Elastic Surfaces for Minimally Invasive Cardiac Surgery
— In order to assist surgeons during surgery on moving organs, e.g. minimally invasive beating heart bypass surgery, a master-slave system which synchronizes surgical instruments...
Thomas Bader, Alexander Wiedemann, Kathrin Roberts...