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JMLR
2006
103views more  JMLR 2006»
14 years 11 months ago
Pattern Recognition for Conditionally Independent Data
In this work we consider the task of relaxing the i.i.d. assumption in pattern recognition (or classification), aiming to make existing learning algorithms applicable to a wider r...
Daniil Ryabko
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
15 years 2 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
TCSV
2008
124views more  TCSV 2008»
14 years 11 months ago
A Novel Look-Up Table Design Method for Data Hiding With Reduced Distortion
Look-up table (LUT)-based data hiding is a simple and efficient technique to hide secondary information (watermark) into multimedia work for various applications such as copyright ...
Xiao-Ping Zhang, Kan Li, Xiaofeng Wang
KDD
2006
ACM
149views Data Mining» more  KDD 2006»
15 years 11 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang
CORR
2011
Springer
213views Education» more  CORR 2011»
14 years 6 months ago
Adapting to Non-stationarity with Growing Expert Ensembles
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Cl...