4255 search results - page 348 / 851 » On Learning Boolean Functions |
169
click to vote
COLT
2000
Springer
15 years 11 months ago
2000
Springer
Boosting algorithms like AdaBoost and Arc-GV are iterative strategies to minimize a constrained objective function, equivalent to Barrier algorithms. Based on this new understandi...
170
click to vote
COLT
2004
Springer
15 years 10 months ago
2004
Springer
This paper introduces a new method using dyadic decision trees for estimating a classification or a regression function in a multiclass classification problem. The estimator is bas...
192
click to vote
AAAI
2006
15 years 8 months ago
2006
In this paper, we motivate the need for and challenges involved in supporting imprecise queries over Web databases. Then we briefly explain our solution, AIMQ - a domain independe...
190
click to vote
EUSFLAT
2003
15 years 8 months ago
2003
In this paper, an architecture of a resourceallocating learning probabilistic neural network is considered. Construction and learning algorithms are proposed. The advantages of th...
190
click to vote
ML
2002
ACM
15 years 6 months ago
2002
ACM
The choice of the kernel function is crucial to most applications of support vector machines. In this paper, however, we show that in the case of text classification, term-frequenc...