193 search results - page 21 / 39 » RANSAC-SVM for large-scale datasets |
SC
2009
ACM
14 years 3 months ago
2009
ACM
Current visualization tools lack the ability to perform fullrange spatial and temporal analysis on terascale scientific datasets. Two key reasons exist for this shortcoming: I/O ...
MLDM
2009
Springer
14 years 3 months ago
2009
Springer
In a world where massive amounts of data are recorded on a large scale we need data mining technologies to gain knowledge from the data in a reasonable time. The Top Down Induction...
SGAI
2009
Springer
14 years 3 months ago
2009
Springer
In a world where data is captured on a large scale the major challenge for data mining algorithms is to be able to scale up to large datasets. There are two main approaches to indu...
ICDM
2008
IEEE
14 years 3 months ago
2008
IEEE
Several marketing problems involve prediction of customer purchase behavior and forecasting future preferences. We consider predictive modeling of large scale, bi-modal or multimo...
ICML
1994
IEEE
14 years 18 days ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...