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» An Empirical Evaluation of Supervised Learning for ROC Area
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SDM
2009
SIAM
154views Data Mining» more  SDM 2009»
15 years 6 months ago
AMORI: A Metric-Based One Rule Inducer.
The requirements of real-world data mining problems vary extensively. It is plausible to assume that some of these requirements can be expressed as application-specific performan...
Niklas Lavesson, Paul Davidsson
CIVR
2005
Springer
123views Image Analysis» more  CIVR 2005»
15 years 3 months ago
Region-Based Image Clustering and Retrieval Using Multiple Instance Learning
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Chengcui Zhang, Xin Chen
KDD
2004
ACM
330views Data Mining» more  KDD 2004»
15 years 9 months ago
Learning to detect malicious executables in the wild
In this paper, we describe the development of a fielded application for detecting malicious executables in the wild. We gathered 1971 benign and 1651 malicious executables and enc...
Jeremy Z. Kolter, Marcus A. Maloof
75
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ATAL
2009
Springer
15 years 4 months ago
Generalized model learning for reinforcement learning in factored domains
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Todd Hester, Peter Stone
ECIS
2000
14 years 10 months ago
Melding Information Systems Evaluation with the Information Systems Development Life-Cycle
- In this paper we consider the synergy between two areas of IS literature: that concerned with the evaluation of information systems and that concerned with explaining the phenome...
Paul Beynon-Davies, Ian Owens, Michael Lloyd-Willi...