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MCS
2009
Springer
15 years 11 months ago
Incremental Learning of Variable Rate Concept Drift
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
Ryan Elwell, Robi Polikar
MFCS
2009
Springer
15 years 11 months ago
Towards a Dichotomy of Finding Possible Winners in Elections Based on Scoring Rules
Abstract. To make a joint decision, agents (or voters) are often required to provide their preferences as linear orders. To determine a winner, the given linear orders can be aggre...
Nadja Betzler, Britta Dorn
MODELS
2009
Springer
15 years 11 months ago
On-the-Fly Construction, Correctness and Completeness of Model Transformations Based on Triple Graph Grammars
Triple graph grammars (TGGs) are a formal and intuitive concept for the specification of model transformations. Their main advantage is an automatic derivation of operational rule...
Hartmut Ehrig, Claudia Ermel, Frank Hermann, Ulrik...
AE
2001
Springer
15 years 11 months ago
Markov Random Field Modelling of Royal Road Genetic Algorithms
Abstract. Markov Random Fields (MRFs) 5] are a class of probabalistic models that have been applied for many years to the analysis of visual patterns or textures. In this paper, ou...
Deryck F. Brown, A. Beatriz Garmendia-Doval, John ...
COCO
2001
Springer
149views Algorithms» more  COCO 2001»
15 years 11 months ago
Quantum versus Classical Learnability
Motivated by recent work on quantum black-box query complexity, we consider quantum versions of two wellstudied models of learning Boolean functions: Angluin’s model of exact le...
Rocco A. Servedio, Steven J. Gortler