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» Pattern Recognition Using Functions of Multiple Instances
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GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
15 years 8 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
142
Voted
BMCBI
2008
161views more  BMCBI 2008»
15 years 2 months ago
Inferring gene expression dynamics via functional regression analysis
Background: Temporal gene expression profiles characterize the time-dynamics of expression of specific genes and are increasingly collected in current gene expression experiments....
Hans-Georg Müller, Jeng-Min Chiou, Xiaoyan Le...
MCS
2005
Springer
15 years 8 months ago
A Probability Model for Combining Ranks
Mixed Group Ranks is a parametric method for combining rank based classiers that is eective for many-class problems. Its parametric structure combines qualities of voting methods...
Ofer Melnik, Yehuda Vardi, Cun-Hui Zhang
121
Voted
ICPR
2000
IEEE
16 years 3 months ago
Detecting Rotational Symmetries Using Normalized Convolution
Perceptual experiments indicate that corners and curvature are very important features in the process of recognition. This paper presents a new method to detect rotational symmetr...
Björn Johansson, Gösta H. Granlund, Hans...
107
Voted
ESOP
2007
Springer
15 years 8 months ago
On the Implementation of Construction Functions for Non-free Concrete Data Types
Abstract. Many algorithms use concrete data types with some additional invariants. The set of values satisfying the invariants is often a set of representatives for the equivalence...
Frédéric Blanqui, Thérè...