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NIPS
2007
15 years 4 months ago
Gaussian Process Models for Link Analysis and Transfer Learning
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
Kai Yu, Wei Chu
133
Voted
IJCNN
2006
IEEE
15 years 9 months ago
In-Place Learning for Positional and Scale Invariance
— In-place learning is a biologically inspired concept, meaning that the computational network is responsible for its own learning. With in-place learning, there is no need for a...
Juyang Weng, Hong Lu, Tianyu Luwang, Xiangyang Xue
NIPS
2000
15 years 4 months ago
Recognizing Hand-written Digits Using Hierarchical Products of Experts
The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a non-linear generative model of handwritten images of digits. The q...
Guy Mayraz, Geoffrey E. Hinton
106
Voted
IADIS
2004
15 years 4 months ago
A Model of Learning Using the Internet
This paper is a report of some of the findings in a study of how and what women in computer science learn using the Internet for communication with other women. The focus of this ...
Mary Dee Medley
ICML
2008
IEEE
16 years 4 months ago
On multi-view active learning and the combination with semi-supervised learning
Multi-view learning has become a hot topic during the past few years. In this paper, we first characterize the sample complexity of multi-view active learning. Under the expansion...
Wei Wang, Zhi-Hua Zhou