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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
14 years 13 days ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
AGP
2003
IEEE
14 years 13 days ago
Advanced Backjumping Techniques for Rule Instantiations
Abstract. The interest in the area of non-monotonic reasoning and declarative logic programming is growing rapidly after the recent development of a number of Answer Set Programmin...
Simona Perri, Francesco Scarcello
KDD
2000
ACM
97views Data Mining» more  KDD 2000»
14 years 11 days ago
Towards an effective cooperation of the user and the computer for classification
Decision trees have been successfully used for the task of classification. However, state-of-the-art algorithms do not incorporate the user in the tree construction process. This ...
Mihael Ankerst, Martin Ester, Hans-Peter Kriegel
KDD
2000
ACM
153views Data Mining» more  KDD 2000»
14 years 11 days ago
The generalized Bayesian committee machine
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Volker Tresp
KDD
2000
ACM
222views Data Mining» more  KDD 2000»
14 years 11 days ago
Interactive exploration of very large relational datasets through 3D dynamic projections
The grand tour, one of the most popular methods for multidimensional data exploration, is based on orthogonally projecting multidimensional data to a sequence of lower dimensional...
Li Yang