45 search results - page 9 / 9 » Incremental learning with temporary memory |
KDD
2000
ACM
13 years 8 months ago
2000
ACM
Many organizations today have more than very large databases; they have databases that grow without limit at a rate of several million records per day. Mining these continuous dat...
IDA
2002
Springer
13 years 5 months ago
2002
Springer
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
PR
2007
13 years 4 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
PKDD
2005
Springer
13 years 10 months ago
2005
Springer
Location-awareness and prediction of future locations is an important problem in pervasive and mobile computing. In cellular systems (e.g., GSM) the serving cell is easily availabl...
SADM
2010
13 years 3 months ago
2010
: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...