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» A Fast Incremental Hypervolume Algorithm
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NIPS
2000
14 years 11 months ago
A New Approximate Maximal Margin Classification Algorithm
A new incremental learning algorithm is described which approximates the maximal margin hyperplane w.r.t. norm p 2 for a set of linearly separable data. Our algorithm, called alm...
Claudio Gentile
CSCLP
2007
Springer
15 years 3 months ago
Quasi-Linear-Time Algorithms by Generalisation of Union-Find in CHR
Abstract. The union-find algorithm can be seen as solving simple equations between variables or constants. With a few lines of code change, we generalise its implementation in CHR...
Thom W. Frühwirth
ICIP
2009
IEEE
15 years 10 months ago
Discrete Curvature Calculation For Fast Level Set Segmentation
Fast level set methods replace continuous PDEs by a discrete formulation, improving the execution times. The regularization in fast level set methods was so far handled indirectly...
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PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
14 years 8 months ago
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
Zhao Xu, Kristian Kersting, Thorsten Joachims
MDM
2005
Springer
174views Communications» more  MDM 2005»
15 years 3 months ago
GPAC: generic and progressive processing of mobile queries over mobile data
This paper introduces a new family of Generic and Progressive algorithms (GPAC, for short) for continuous mobile queries over mobile objects. GPAC provides a general skeleton that...
Mohamed F. Mokbel, Walid G. Aref