1037 search results - page 71 / 208 » Learning of Boolean Functions Using Support Vector Machines |
ICIP
2001
IEEE
14 years 10 months ago
2001
IEEE
The use of higher-order local autocorrelations as features for pattern recognition has been acknowledged since many years, but their applicability was restricted to relatively low...
CORR
2008
Springer
13 years 9 months ago
2008
Springer
We consider a general class of regularization methods which learn a vector of parameters on the basis of linear measurements. It is well known that if the regularizer is a nondecr...
CIDM
2007
IEEE
14 years 1 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
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...
COCO
2006
Springer
14 years 23 days ago
2006
Springer
We give an algorithm that learns any monotone Boolean function f : {-1, 1}n {-1, 1} to any constant accuracy, under the uniform distribution, in time polynomial in n and in the de...