248 search results - page 34 / 50 » Unsupervised Learning for Hierarchical Clustering Using Stat... |
AROBOTS
2010
13 years 7 months ago
2010
Abstract This work introduces a self-supervised architecture for robust classification of moving obstacles in urban environments. Our approach presents a hierarchical scheme that r...
AUSAI
2007
Springer
14 years 1 months ago
2007
Springer
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
BMCBI
2007
13 years 7 months ago
2007
Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
KDD
2009
ACM
14 years 2 months ago
2009
ACM
The importance of event logs, as a source of information in systems and network management cannot be overemphasized. With the ever increasing size and complexity of today’s even...
IDA
1998
Springer
13 years 7 months ago
1998
Springer
We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...