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ML
2006
ACM
121views Machine Learning» more  ML 2006»
15 years 6 months ago
Model-based transductive learning of the kernel matrix
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
IDA
2010
Springer
15 years 5 months ago
Multi-dimensional data construction method with its application to learning from small-sample-sets
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
Hsiao-Fan Wang, Chun-Jung Huang
CVPR
2001
IEEE
16 years 8 months ago
Recognition of Human Gaits
We pose the problem of recognizing different types of human gait in the space of dynamical systems where each gait is represented. Established techniques are employed to track a k...
Alessandro Bissacco, Alessandro Chiuso, Yi Ma, Ste...
PPSN
2004
Springer
16 years 11 hour ago
A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Jorge Muruzábal, Carlos Cotta
FLAIRS
2001
15 years 8 months ago
The History of the Mobot Museum Robot Series: An Evolutionary Study
: This paper describes a long-terra project to install socially interactive, autonomousmobile robots in public spaces. We have deployed four robots over the last three years, accum...
Thomas Willeke, Clayton Kunz, Illah R. Nourbakhsh