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KDD
1995
ACM
129views Data Mining» more  KDD 1995»
15 years 9 months ago
Feature Extraction for Massive Data Mining
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss
ICPR
2010
IEEE
15 years 9 months ago
Inverse Multiple Instance Learning for Classifier Grids
Abstract--Recently, classifier grids have shown to be a considerable alternative for object detection from static cameras. However, one drawback of such approaches is drifting if a...
Sabine Sternig, Peter M. Roth, Horst Bischof
ATAL
2008
Springer
15 years 8 months ago
Artificial agents learning human fairness
Recent advances in technology allow multi-agent systems to be deployed in cooperation with or as a service for humans. Typically, those systems are designed assuming individually ...
Steven de Jong, Karl Tuyls, Katja Verbeeck
ATAL
2008
Springer
15 years 8 months ago
Towards Improved Partner Selection Using Recommendations and Trust
Agents in open and dynamic environments face the challenge of uncertainty while interacting with others to achieve their goals. They face quick and unforeseen changes to the behavi...
Sarah N. Lim Choi Keung, Nathan Griffiths
AUTONOMICS
2008
ACM
15 years 8 months ago
Autonomic management via dynamic combinations of reusable strategies
Autonomic Management capabilities become increasingly important for attaining functional and quality goals in software systems. Nonetheless, successful Autonomic Management soluti...
Ada Diaconescu, Yoann Maurel, Philippe Lalanda