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» Arguing from Experience to Classifying Noisy Data
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IEAAIE
2005
Springer
14 years 2 months ago
Movement Prediction from Real-World Images Using a Liquid State Machine
Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor rea...
Harald Burgsteiner, Mark Kröll, Alexander Leo...
INTERSPEECH
2010
13 years 3 months ago
HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition
We recently proposed a method for HMM adaptation to noisy environments called Linear Spline Interpolation (LSI). LSI uses linear spline regression to model the relationship betwee...
Michael L. Seltzer, Alex Acero
ADMA
2006
Springer
143views Data Mining» more  ADMA 2006»
14 years 13 days ago
Robust Collective Classification with Contextual Dependency Network Models
Abstract. In order to exploit the dependencies in relational data to improve predictions, relational classification models often need to make simultaneous statistical judgments abo...
YongHong Tian, Tiejun Huang, Wen Gao
AIME
2007
Springer
14 years 21 days ago
An Experiment in Automatic Classification of Pathological Reports
Abstract. Medical reports are predominantly written in natural language; as such they are not computer-accessible. A common way to make medical narrative accessible to automated sy...
Janneke van der Zwaan, Erik F. Tjong Kim Sang, Maa...
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
11 years 11 months ago
Mining event periodicity from incomplete observations
Advanced technology in GPS and sensors enables us to track physical events, such as human movements and facility usage. Periodicity analysis from the recorded data is an important...
Zhenhui Li, Jingjing Wang, Jiawei Han