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ICANN
2003
Springer
14 years 23 days ago
Unsupervised Learning of a Kinematic Arm Model
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
Heiko Hoffmann, Ralf Möller
ICANN
2007
Springer
14 years 1 months ago
Visualising Class Distribution on Self-organising Maps
The Self-Organising Map is a popular unsupervised neural network model which has been used successfully in various contexts for clustering data. Even though labelled data is not re...
Rudolf Mayer, Taha Abdel Aziz, Andreas Rauber
CSB
2005
IEEE
202views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Head and Neck Cancer Metastasis Prediction via Artificial Neural Networks
Cancers in head and neck tends to spread to nearby lymph nodes. Lymph nodes trap the spreading tumor cells but then the tumor starts to grow in these nodes and then spread further...
Eveleen Darby, Tezeswari Nettimi, Shilpa Kodali, L...
LCN
2008
IEEE
14 years 1 months ago
Modeling of multi-resolution active network measurement time-series
Abstract—Active measurements on network paths provide endto-end network health status in terms of metrics such as bandwidth, delay, jitter and loss. Hence, they are increasingly ...
Prasad Calyam, Ananth Devulapalli
OSDI
2004
ACM
14 years 7 months ago
Correlating Instrumentation Data to System States: A Building Block for Automated Diagnosis and Control
This paper studies the use of statistical induction techniques as a basis for automated performance diagnosis and performance management. The goal of the work is to develop and ev...
Ira Cohen, Jeffrey S. Chase, Julie Symons, Mois&ea...