272 search results - page 11 / 55 » Regression Learning Vector Quantization |
90
Voted
ICML
2006
IEEE
16 years 13 days ago
2006
IEEE
Recently, a very appealing approach was proposed to compute the entire solution path for support vector classification (SVC) with very low extra computational cost. This approach ...
102
Voted
NIPS
1994
15 years 29 days ago
1994
Many real world learning problems are best characterized by an interaction of multiple independent causes or factors. Discovering such causal structure from the data is the focus ...
ML
2008
ACM
14 years 11 months ago
2008
ACM
This paper explores the addition of constraints to the linear programming formulation of the support vector regression problem for the incorporation of prior knowledge. Equality an...
91
Voted
IDEAL
2005
Springer
15 years 5 months ago
2005
Springer
Novelty detection involves identifying novel patterns. They are not usually available during training. Even if they are, the data quantity imbalance leads to a low classification ...
94
Voted
IJCNN
2000
IEEE
15 years 4 months ago
2000
IEEE
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...