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CP
2006
Springer
15 years 8 months ago
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
CRV
2006
IEEE
128views Robotics» more  CRV 2006»
15 years 8 months ago
Expert Knowledge Based Automatic Regions-of-Interest (ROI) Selection in Scanned Documents for Digital Image Encryption
Conventional image-oriented cryptographic techniques lack the flexibility needed for content-specific security features such as the concealment of confidential information within ...
Alexander Wong, William Bishop
GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
15 years 8 months ago
Evolving ensemble of classifiers in random subspace
Various methods for ensemble selection and classifier combination have been designed to optimize the results of ensembles of classifiers. Genetic algorithm (GA) which uses the div...
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souz...
ITS
2000
Springer
94views Multimedia» more  ITS 2000»
15 years 7 months ago
DT Tutor: A Decision-Theoretic, Dynamic Approach for Optimal Selection of Tutorial Actions
DT Tutor uses a decision-theoretic approach to select tutorial actions for coached problem solving that are optimal given the tutor's beliefs and objectives. It employs a mode...
R. Charles Murray, Kurt VanLehn
PAKDD
2000
ACM
140views Data Mining» more  PAKDD 2000»
15 years 7 months ago
Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
Slobodan Vucetic, Zoran Obradovic