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» A Framework for Multiple-Instance Learning
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DAGM
2007
Springer
15 years 10 months ago
Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification
Cascades of classifiers constitute an important architecture for fast object detection. While boosting of simple (weak) classifiers provides an established framework, the design of...
Rezaul Karim, Martin Bergtholdt, Jörg H. Kapp...
AI50
2006
15 years 10 months ago
AI in Locomotion: Challenges and Perspectives of Underactuated Robots
Abstract. This article discusses the issues of adaptive autonomous navigation as a challenge of artificial intelligence. We argue that, in order to enhance the dexterity and adapti...
Fumiya Iida, Rolf Pfeifer, André Seyfarth
BPM
2006
Springer
153views Business» more  BPM 2006»
15 years 10 months ago
Decision Mining in ProM
Process-aware Information Systems typically log events (e.g., in transaction logs or audit trails) related to the actual business process executions. Proper analysis of these execu...
Anne Rozinat, Wil M. P. van der Aalst
PPSN
2000
Springer
15 years 10 months ago
Towards Automatic Domain Knowledge Extraction for Evolutionary Heuristics
Domain knowledge is essential for successful problem solving and optimization. This paper introduces a framework in which a form of automatic domain knowledge extraction can be im...
Márk Jelasity
ICPR
2010
IEEE
15 years 10 months ago
Feature Selection Using Multiobjective Optimization for Named Entity Recognition
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...
Asif Ekbal, Sriparna Saha