192 search results - page 8 / 39 » Boosting in Probabilistic Neural Networks |
IWANN
2005
Springer
14 years 2 months ago
2005
Springer
Boosting constructs a weighted classifier out of possibly weak learners by successively concentrating on those patterns harder to classify. While giving excellent results in many ...
WWW
2005
ACM
14 years 9 months ago
2005
ACM
By far, the support vector machines (SVM) achieve the state-of-theart performance for the text classification (TC) tasks. Due to the complexity of the TC problems, it becomes a ch...
SDM
2012
SIAM
11 years 11 months ago
2012
SIAM
We propose a new matrix completion algorithm— Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix fac...
EUSFLAT
2003
13 years 10 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...
ISCAS
2003
IEEE
14 years 2 months ago
2003
IEEE
Automation of power system fault identification using information conveyed by the wavelet analysis of power system transients is proposed. Probabilistic Neural Network (PNN) for d...