2518 search results - page 449 / 504 » Machine learning in sedimentation modelling |
129
click to vote
PRL
2006
15 years 4 months ago
2006
Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...
133
click to vote
AICOM
2002
15 years 4 months ago
2002
The computational potential of artificial living systems can be studied without knowing the algorithms that govern their behavior. Modeling single organisms by means of socalled c...
124
click to vote
CORR
2010
Springer
15 years 2 months ago
2010
Springer
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
146
click to vote
IMC
2010
ACM
15 years 2 months ago
2010
ACM
Previous methods of network anomaly detection have focused on defining a temporal model of what is "normal," and flagging the "abnormal" activity that does not...
138
click to vote
GECCO
2007
Springer
15 years 10 months ago
2007
Springer
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...