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» Learning with Idealized Kernels
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JMLR
2008
95views more  JMLR 2008»
15 years 4 months ago
Learning Similarity with Operator-valued Large-margin Classifiers
A method is introduced to learn and represent similarity with linear operators in kernel induced Hilbert spaces. Transferring error bounds for vector valued large-margin classifie...
Andreas Maurer
IC
2000
15 years 5 months ago
Virtual Campus: A Web-Based Customized Learning Environment
Abstract Virtual Campus is an Internet application in education. It combines the advantages of both group and individual learning approaches based on advanced network technologies....
Ka-po Ma, Michael R. Lyn, Wing-Kay Kan
ICML
2009
IEEE
16 years 4 months ago
Archipelago: nonparametric Bayesian semi-supervised learning
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
Ryan Prescott Adams, Zoubin Ghahramani
ICDE
2007
IEEE
115views Database» more  ICDE 2007»
16 years 5 months ago
SPRITE: A Learning-Based Text Retrieval System in DHT Networks
In this paper, we propose SPRITE (Selective PRogressive Index Tuning by Examples), a scalable system for text retrieval in a structured P2P network. Under SPRITE, each peer is res...
Yingguang Li, H. V. Jagadish, Kian-Lee Tan
JSW
2007
112views more  JSW 2007»
15 years 3 months ago
The Challenge of Training New Architects: an Ontological and Reinforcement-Learning Methodology
— This paper describes the importance of new skilled architects in the discipline of Software and Enterprise Architecture. Architects are often idealized as super heroes with a l...
Anabel Fraga, Juan Lloréns