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AI
2007
Springer
14 years 10 months ago
Argument based machine learning
We present a novel approach to machine learning, called ABML (argumentation based ML). This approach combines machine learning from examples with concepts from the field of argum...
Martin Mozina, Jure Zabkar, Ivan Bratko
ALT
2001
Springer
15 years 7 months ago
Learning Recursive Functions Refutably
Abstract. Learning of recursive functions refutably means that for every recursive function, the learning machine has either to learn this function or to refute it, i.e., to signal...
Sanjay Jain, Efim B. Kinber, Rolf Wiehagen, Thomas...
CHI
2010
ACM
15 years 4 months ago
Examining multiple potential models in end-user interactive concept learning
End-user interactive concept learning is a technique for interacting with large unstructured datasets, requiring insights from both human-computer interaction and machine learning...
Saleema Amershi, James Fogarty, Ashish Kapoor, Des...
CCS
2009
ACM
15 years 4 months ago
A framework for quantitative security analysis of machine learning
We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
Pavel Laskov, Marius Kloft
ICALT
2006
IEEE
15 years 4 months ago
Design of Knowledge Management Learning System based on Service-Oriented Architecture
In this paper, we propose a framework of Knowledge Management Learning System (KMLS) for adult education based on a learning process and a ServiceOriented Architecture (SOA). Acco...
Wan-Jen Chang, Hsuan-Hung Chen, Hui-Kai Su, Yuan-S...