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» An Instance Selection Approach to Multiple Instance Learning
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TJS
2010
182views more  TJS 2010»
13 years 7 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
ICML
2009
IEEE
14 years 9 months ago
Deep transfer via second-order Markov logic
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
Jesse Davis, Pedro Domingos
SFP
2003
13 years 10 months ago
Testing Scheme programming assignments automatically
Abstract In distance learning the lack of direct communication between teachers and learners makes it difficult to provide direct assistance to students while they are solving the...
Manfred Widera
IADIS
2003
13 years 10 months ago
Towards Interoperable Learning Object Repositories: The Ariadne Experience
In this paper, we present an approach for producing interoperable metadata by mapping metadata structures of application profiles into standard metadata structures. As a study cas...
Jehad Najjar, Erik Duval, Stefaan Ternier, Filip N...
VAMOS
2010
Springer
13 years 10 months ago
Automating the Configuration of Multi Software Product Lines
The increased use of software product lines (SPLs) results in complex software systems in which products of multiple SPLs communicate and interact with each other. Such a system of...
Marko Rosenmüller, Norbert Siegmund