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» Learning Classifiers from Semantically Heterogeneous Data
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CASCON
2004
129views Education» more  CASCON 2004»
13 years 10 months ago
Building predictors from vertically distributed data
Due in part to the large volume of data available today, but more importantly to privacy concerns, data are often distributed across institutional, geographical and organizational...
Sabine M. McConnell, David B. Skillicorn
ICML
2000
IEEE
14 years 9 months ago
Duality and Geometry in SVM Classifiers
We develop an intuitive geometric interpretation of the standard support vector machine (SVM) for classification of both linearly separable and inseparable data and provide a rigo...
Kristin P. Bennett, Erin J. Bredensteiner
KDD
1995
ACM
135views Data Mining» more  KDD 1995»
14 years 12 days ago
Rough Sets Similarity-Based Learning from Databases
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
Xiaohua Hu, Nick Cercone
ICML
2010
IEEE
13 years 10 months ago
Active Learning for Networked Data
We introduce a novel active learning algorithm for classification of network data. In this setting, training instances are connected by a set of links to form a network, the label...
Mustafa Bilgic, Lilyana Mihalkova, Lise Getoor
GTTSE
2007
Springer
14 years 3 months ago
Design Space of Heterogeneous Synchronization
Abstract. This tutorial explores the design space of heterogeneous synchronization, which is concerned with establishing consistency among artifacts that conform to different sche...
Michal Antkiewicz, Krzysztof Czarnecki