520 search results - page 81 / 104 » Computing recombination networks from binary sequences |
172
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GIS
2003
ACM
15 years 10 months ago
2003
ACM
With the proliferation of mobile computing, the ability to index efficiently the movements of mobile objects becomes important. Objects are typically seen as moving in two-dimensi...
CCS
2003
ACM
15 years 3 months ago
2003
ACM
Many network intrusion detection systems (NIDS) use byte sequences as signatures to detect malicious activity. While being highly efficient, they tend to suffer from a high false...
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
123
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CCGRID
2010
IEEE
14 years 11 months ago
2010
IEEE
Geo-sciences involve large-scale parallel models, high resolution real time data from highly asynchronous and heterogeneous sensor networks and instruments, and complex analysis a...
108
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JMLR
2008
14 years 9 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...