2826 search results - page 34 / 566 » Maximal Vector Computation in Large Data Sets |
DCC
2000
IEEE
14 years 1 months ago
2000
IEEE
As large-scale databases become commonplace, there has been signi cant interest in mining them for commercial purposes. One of the basic tasks that underlies many of these mining ...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
This paper investigates a class of learning problems called learning satisfiability (LSAT) problems, where the goal is to learn a set in the input (feature) space that satisfies...
KDD
2000
ACM
14 years 19 days ago
2000
ACM
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
IJPRAI
2010
13 years 7 months ago
2010
: AUC-SVM directly maximizes the area under the ROC curve (AUC) through minimizing its hinge loss relaxation, and the decision function is determined by those support vector sample...
VISUALIZATION
1991
IEEE
14 years 17 days ago
1991
IEEE
We describe a software system, TOPO, that numerically analyzes and graphically displays topological aspects of a three dimensional vector field, v, to produce a single, relativel...