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» A theory of learning with similarity functions
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ESWA
2011
243views Database» more  ESWA 2011»
14 years 5 months ago
A novel case based reasoning approach to radiotherapy planning
Radiotherapy planning is a complex problem which requires both expertise and experience of an oncologist. A Case Based Reasoning (CBR) system is developed to generate dose plans f...
Sanja Petrovic, Nishikant Mishra, Santhanam Sundar
ICALP
2009
Springer
16 years 1 months ago
Correlation Clustering Revisited: The "True" Cost of Error Minimization Problems
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
Nir Ailon, Edo Liberty
COSIT
2007
Springer
85views GIS» more  COSIT 2007»
15 years 7 months ago
Linguistic and Nonlinguistic Turn Direction Concepts
This paper discusses the conceptualization of turn directions along traveled routes. Foremost, we are interested in the influence that language has on the conceptualization of turn...
Alexander Klippel, Daniel R. Montello
216
Voted
GECCO
2007
Springer
532views Optimization» more  GECCO 2007»
15 years 7 months ago
Evolving evolutionary algorithms using evolutionary algorithms
A new model for automatic generation of Evolutionary Algorithms (EAs) by evolutionary means is proposed in this paper. The model is based on a simple Genetic Algorithm (GA). Every...
Laura Diosan, Mihai Oltean
112
Voted
ESANN
2004
15 years 3 months ago
Neural methods for non-standard data
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
Barbara Hammer, Brijnesh J. Jain