3894 search results - page 717 / 779 » Approximation Algorithms for Biclustering Problems |
134
click to vote
AAAI
2007
15 years 5 months ago
2007
We present Cluster Onset Detection (COD), a novel algorithm to aid in detection of epidemic outbreaks. COD employs unsupervised learning techniques in an online setting to partiti...
154
click to vote
FLAIRS
2008
15 years 5 months ago
2008
Current studies have demonstrated that the representational power of predictive state representations (PSRs) is at least equal to the one of partially observable Markov decision p...
144
click to vote
ANNPR
2008
Springer
15 years 5 months ago
2008
Springer
Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...
131
click to vote
AAAI
2010
15 years 4 months ago
2010
Partially-observable Markov decision processes (POMDPs) provide a powerful model for sequential decision-making problems with partially-observed state and are known to have (appro...
116
click to vote
ICMLA
2007
15 years 4 months ago
2007
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...