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SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 3 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
KDD
2007
ACM
149views Data Mining» more  KDD 2007»
16 years 2 months ago
Distributed classification in peer-to-peer networks
This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distributed classification, most o...
Ping Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi
AIED
2005
Springer
15 years 7 months ago
On the Prospects of Intelligent Collaborative E-learning Systems
Collaborative learning is question-driven and open-ended by nature. Many of the techniques developed for intelligent tutoring are applicable only in more structured settings, but f...
Miikka Miettinen, Jaakko Kurhila, Henry Tirri
ISWC
1998
IEEE
15 years 6 months ago
Augment-able Reality: Situated Communication through Physical and Digital Spaces
Most existing augmented reality systems only provide a method for browsing information that is situated in the real world context. This paper describes a system that allows users ...
Jun Rekimoto, Yuji Ayatsuka, Kazuteru Hayashi
BMCBI
2007
168views more  BMCBI 2007»
15 years 2 months ago
Automatic extraction of gene ontology annotation and its correlation with clusters in protein networks
Background: Uncovering cellular roles of a protein is a task of tremendous importance and complexity that requires dedicated experimental work as well as often sophisticated data ...
Nikolai Daraselia, Anton Yuryev, Sergei Egorov, Il...