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» On learning with dissimilarity functions
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IJCNN
2006
IEEE
16 years 22 days ago
Learning the Kernel in Mahalanobis One-Class Support Vector Machines
— In this paper, we show that one-class SVMs can also utilize data covariance in a robust manner to improve performance. Furthermore, by constraining the desired kernel function ...
Ivor W. Tsang, James T. Kwok, Shutao Li
ICWE
2005
Springer
16 years 6 days ago
An Application Framework for Collaborative Learning
We present the design of a new web application framework for collaborative learning. The framework guides users (i.e. teachers) in implementing online activities based on well-know...
Aiman Turani, Rafael A. Calvo, Peter Goodyear
148
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DAGM
2004
Springer
16 years 3 days ago
Learning with Distance Substitution Kernels
Abstract. During recent years much effort has been spent in incorporating problem specific a-priori knowledge into kernel methods for machine learning. A common example is a-prior...
Bernard Haasdonk, Claus Bahlmann
MICAI
2004
Springer
16 years 1 days ago
An Optimization Algorithm Based on Active and Instance-Based Learning
We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...
Olac Fuentes, Thamar Solorio
ACIIDS
2010
IEEE
204views Database» more  ACIIDS 2010»
15 years 11 months ago
An Unsupervised Learning and Statistical Approach for Vietnamese Word Recognition and Segmentation
There are two main topics in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using probabilistic models; (ii) the optimum probabilistic mo...
Hieu Le Trung, Vu Le Anh, Kien Le Trung