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» Multiagent learning using a variable learning rate
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JMLR
2007
104views more  JMLR 2007»
15 years 4 months ago
Learnability of Gaussians with Flexible Variances
Gaussian kernels with flexible variances provide a rich family of Mercer kernels for learning algorithms. We show that the union of the unit balls of reproducing kernel Hilbert s...
Yiming Ying, Ding-Xuan Zhou
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 11 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
FLAIRS
2011
14 years 8 months ago
Internal Usability Testing of Automated Essay Feedback in an Intelligent Writing Tutor
Research on automated essay scoring (AES) indicates that computer-generated essay ratings are comparable to human ratings. However, despite investigations into the accuracy and re...
Rod Roscoe, Laura Varner, Zhiqiang Cai, Jennifer L...
ICPR
2002
IEEE
16 years 6 months ago
Graph of Neural Networks for Pattern Recognition
This paper presents a new architecture of neural networks designed for pattern recognition. The concept of induction graphs coupled with a divide-and-conquer strategy defines a Gr...
Hubert Cardot, Olivier Lezoray
CAISE
2003
Springer
15 years 10 months ago
Recommendation Based Discovery of Dynamic Virtual Communities
Recommendation systems are becoming increasingly popular in various large-scale web-based applications (such as infomediaries, emarketplaces, knowledge portals) since they enable u...
Manos Papagelis, Dimitris Plexousakis