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NIPS
1997
13 years 9 months ago
A Framework for Multiple-Instance Learning
Multiple-instance learning is a variation on supervised learning, where the task is to learn a concept given positive and negative bags of instances. Each bag may contain many ins...
Oded Maron, Tomás Lozano-Pérez
CORR
2010
Springer
122views Education» more  CORR 2010»
13 years 7 months ago
Open-Ended Evolutionary Robotics: an Information Theoretic Approach
This paper is concerned with designing self-driven fitness functions for Embedded Evolutionary Robotics. The proposed approach considers the entropy of the sensori-motor stream gen...
Pierre Delarboulas, Marc Schoenauer, Michèl...
BMCBI
2006
79views more  BMCBI 2006»
13 years 7 months ago
The effects of multiple features of alternatively spliced exons on the KA/KS ratio test
Background: The evolution of alternatively spliced exons (ASEs) is of primary interest because these exons are suggested to be a major source of functional diversity of proteins. ...
Feng-Chi Chen, Trees-Juen Chuang
CG
2007
Springer
13 years 7 months ago
Visualizing time-oriented data - A systematic view
The analysis of time-oriented data is an important task in many application scenarios. In recent years, a variety of techniques for visualizing such data have been published. This...
Wolfgang Aigner, Silvia Miksch, Wolfgang Müll...
KAIS
2008
99views more  KAIS 2008»
13 years 7 months ago
Privacy-preserving SVM classification
Classical data mining algorithms implicitly assume complete access to all data, either in centralized or federated form. However, privacy and security concerns often prevent sharin...
Jaideep Vaidya, Hwanjo Yu, Xiaoqian Jiang