1157 search results - page 122 / 232 » A kernel path algorithm for support vector machines |
ICML
2002
IEEE
14 years 10 months ago
2002
IEEE
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
GECCO
2008
Springer
13 years 10 months ago
2008
Springer
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
SIGMOD
2010
ACM
14 years 1 months ago
2010
ACM
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
DAC
1994
ACM
14 years 1 months ago
1994
ACM
In current research, the minimum cycle times of finite state machines are estimated by computing the delays of the combinational logic in the finite state machines. Even though th...
PKDD
2009
Springer
14 years 3 months ago
2009
Springer
The Support Vector Machine error bound is a function of the margin and radius. Standard SVM algorithms maximize the margin within a given feature space, therefore the radius is fi...