4930 search results - page 136 / 986 » Learning minimal abstractions |
85
Voted
KDD
2007
ACM
16 years 1 months ago
2007
ACM
It is often expensive to acquire data in real-world data mining applications. Most previous data mining and machine learning research, however, assumes that a fixed set of trainin...
102
Voted
KDD
2004
ACM
16 years 1 months ago
2004
ACM
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
127
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CCS
2009
ACM
15 years 7 months ago
2009
ACM
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
103
Voted
ATAL
2009
Springer
15 years 7 months ago
2009
Springer
Creating coordinated multiagent policies in environments with uncertainty is a challenging problem, which can be greatly simplified if the coordination needs are known to be limi...
83
Voted
SDM
2008
SIAM
15 years 2 months ago
2008
SIAM
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...