316 search results - page 7 / 64 » Song-Level Features and Support Vector Machines for Music Cl... |
JMLR
2008
13 years 7 months ago
2008
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We propose a classification method based on a decision tree whose nodes consist of linear Support Vector Machines (SVMs). Each node defines a decision hyperplane that classifies p...
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...
KDD
2000
ACM
13 years 11 months 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...
NN
2000
Springer
13 years 7 months ago
2000
Springer
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...