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» Learning probabilistic models of the Web
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ICALT
2003
IEEE
15 years 11 months ago
An Instructional Framework Supporting Personalized Learning on the Web
In this paper an instructional framework is proposed for supporting personalised learning in the context of webbased adaptive educational hypermedia systems. A learning-focused ap...
Kyparisia A. Papanikolaou, Maria Grigoriadou
RECOMB
2001
Springer
16 years 6 months ago
Context-specific Bayesian clustering for gene expression data
The recent growth in genomic data and measurements of genome-wide expression patterns allows us to apply computational tools to examine gene regulation by transcription factors. I...
Yoseph Barash, Nir Friedman
COLING
2010
15 years 1 months ago
Learning Web Query Patterns for Imitating Wikipedia Articles
This paper presents a novel method for acquiring a set of query patterns to retrieve documents containing important information about an entity. Given an existing Wikipedia catego...
Shohei Tanaka, Naoaki Okazaki, Mitsuru Ishizuka
ICML
2004
IEEE
16 years 7 months ago
Variational methods for the Dirichlet process
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
David M. Blei, Michael I. Jordan
MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 12 months ago
Multi-graph enabled active learning for multimodal web image retrieval
In this paper, we propose a multimodal Web image retrieval technique based on multi-graph enabled active learning. The main goal is to leverage the heterogeneous data on the Web t...
Xin-Jing Wang, Wei-Ying Ma, Lei Zhang, Xing Li