801 search results - page 31 / 161 » The Inefficiency of Batch Training for Large Training Sets |
PREMI
2005
Springer
14 years 2 months ago
2005
Springer
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
KDD
1999
ACM
14 years 1 months ago
1999
ACM
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
BMCBI
2006
13 years 8 months ago
2006
Background: Determination of the subcellular location of a protein is essential to understanding its biochemical function. This information can provide insight into the function o...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper, we extend the recently proposed Core Vector Machine algorithm to the regression setting by generalizing the underlying minimum enclosing ball problem. The resultant...
AAAI
1998
13 years 10 months ago
1998
In many important text classification problems, acquiring class labels for training documents is costly, while gathering large quantities of unlabeled data is cheap. This paper sh...